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A Computational Account of Bilingual Aphasia Rehabilitation 2013
Swathi Kiran, Uli Grasemann, Chaleece Sandberg, and Risto Miikkulainen
A Formal Approach to Linking Logical Form and Vector-Space Lexical Semantics 2013
Dan Garrette, Katrin Erk, Raymond J. Mooney
A Learning Agent for Heat-Pump Thermostat Control 2013
Daniel Urieli and Peter Stone
Ad Hoc Teamwork for Leading a Flock 2013
Katie Genter and Noa Agmon and Peter Stone
Adapting Discriminative Reranking to Grounded Language Learning 2013
Joohyun Kim and Raymond J. Mooney
Cooperating with a Markovian Ad Hoc Teammate 2013
Doran Chakraborty and Peter Stone
Effective Diversity Maintenance in Deceptive Domains 2013
Joel Lehman, Kenneth O. Stanley and Risto Miikkulainen
Generating Natural-Language Video Descriptions Using Text-Mined Knowledge 2013
Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama
GRADE: Machine Learning Support for Graduate Admissions 2013
Austin Waters, Risto Miikkulainen
Humanoid Robots Learning to Walk Faster: From the Real World to Simulation and Back 2013
Alon Farchy and Samuel Barrett and Patrick MacAlpine and Peter Stone
IJCNN-2013 Tutorial on Evolution of Neural Networks 2013
Risto Miikkulainen
Learning a Part-of-Speech Tagger from Two Hours of Annotation 2013
Dan Garrette, Jason Baldridge
Learning Exploration Strategies in Model-Based Reinforcement Learning 2013
Todd Hester and Manuel Lopes and Peter Stone
Learning Non-Myopically from Human-Generated Reward 2013
W. Bradley Knox and Peter Stone
Logic Programs vs. First-Order Formulas in Textual Inference 2013
Yuliya Lierler and Vladimir Lifschitz
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form 2013
Islam Beltagy, Cuong Chau, Gemma Boleda, Dan Garrette, Katrin Erk, Raymond Mooney
Multiagent Learning in the Presence of Memory-Bounded Agents 2013
Doran Chakraborty and Peter Stone
On Equivalent Transformations of Infinitary Formulas under the Stable Model Semantics 2013
Amelia Harrison, Vladimir Lifschitz and Miroslaw Truszczynski
Online Inference-Rule Learning from Natural-Language Extractions 2013
Sindhu Raghavan and Raymond J. Mooney
Open-Ended Behavioral Complexity for Evolved Virtual Creatures 2013
Dan Lessin, Don Fussell, Risto Miikkulainen
Positioning to Win: A Dynamic Role Assignment and Formation Positioning System 2013
Patrick MacAlpine and Francisco Barrera and Peter Stone
Role of KR in Natural Language Understanding and Synergic KR 2013
Yuliya Lierler
Simultaneous Learning and Reshaping of an Approximated Optimization Task 2013
Patrick MacAlpine and Elad Liebman and Peter Stone
Targeted Opponent Modeling of Memory-Bounded Agents 2013
Doran Chakraborty and Peter Stone
The Dramatic True Story of the Frame Default 2013
Vladimir Lifschitz
Towards a Tight Integration of Syntactic Parsing with Semantic Disambiguation by means of Declarative Programming 2013
Yuliya Lierler and Peter Schueller
Using Symmetry and Evolutionary Search to Minimize Sorting Networks 2013
Vinod K. Valsalam and Risto Miikkulainen
UT Austin Villa 2012: Standard Platform League World Champions 2013
Samuel Barrett, Katie Genter, Yuchen He, Todd Hester, Piyush Khandelwal, Jacob Menashe, and Peter Stone
{UT} {A}ustin {V}illa: {R}obo{C}up 2012 3{D} Simulation League Champion 2013
Patrick MacAlpine and Nick Collins and Adrian Lopez-Mobilia and Peter Stone
Relational Theories with Null Values and Non-Herbrand Stable Models 2012
Vladimir Lifschitz, Karl Pichotta, and Fangkai Yang
A Platform for Evaluating Autonomous Intersection Management Policies 2012
Chien-Liang Fok and Maykel Hanna and Seth Gee and Tsz-Chiu Au and Peter Stone and Christine Julien and Sriram Vishwanath
A Probabilistic Architecture for Algorithm Portfolios 2012
Bryan Silverthorn
A Tarskian Informal Semantics for Answer Set Programming 2012
Marc Denecker, Yuliya Lierler, Miroslaw Truszczynski, Joost Vennekens
A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers 2012
S. Negahban and P. Ravikumar and M. J. Wainwright and B. Yu
Accelerating Evolution via Egalitarian Social Learning 2012
Wesley Tansey, Eliana Feasley, and Risto Miikkulainen
An Analysis Framework for Ad Hoc Teamwork Tasks 2012
Samuel Barrett and Peter Stone
Approximately Orchestrated Routing and Transportation Analyzer: Large-scale Traffic Simulation for Autonomous Vehicles 2012
Dustin Carlino and Mike Depinet and Piyush Khandelwal and Peter Stone
Bayesian Logic Programs for Plan Recognition and Machine Reading 2012
Sindhu Raghavan
Believable Bot Navigation via Playback of Human Traces 2012
Igor V. Karpov, Jacob Schrum, Risto Miikkulainen
Constraint Answer Set Programming 2012
Yuliya Lierler
Constructing Controllers for Physical Multilegged Robots using the ENSO Neuroevolution Approach 2012
Vinod K. Valsalam, Jonathan Hiller, Robert MacCurdy, Hod Lipson and Risto Miikkulainen
Design and Optimization of an Omnidirectional Humanoid Walk: A Winning Approach at the {R}obo{C}up 2011 3{D} Simulation Competition 2012
Patrick MacAlpine and Samuel Barrett and Daniel Urieli and Victor Vu and Peter Stone
Evaluating Modular Neuroevolution in Robotic Keepaway Soccer 2012
Anand Subramoney
Evaluation Methods for Active Human-Guided Neuroevolution in Games 2012
Igor Karpov, Leif Johnson, Vinod Valsalam and Risto Miikkulainen
Evasion Planning for Autonomous Vehicles at Intersections 2012
Tsz-Chiu Au and Chien-Liang Fok and Sriram Vishwanath and Christine Julien and Peter Stone
Evolution of a Communication Code in Cooperative Tasks 2012
Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen and Kay Holekamp
Evolving Multimodal Networks for Multitask Games 2012
Jacob Schrum and Risto Miikkulainen
Fast Online Lexicon Learning for Grounded Language Acquisition 2012
David L. Chen
Functional Completion 2012
Vladimir Lifschitz and Fangkai Yang
General-Purpose Optimization Through Information-Maximization 2012
Alan J lockett
Generative Models of Grounded Language Learning with Ambiguous Supervision 2012
Joohyun Kim
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods 2012
Christopher Johnson, Ali Jalali, and Pradeep Ravikumar
How Humans Teach Agents: A New Experimental Perspective 2012
W. Bradley Knox and Brian D. Glass and Bradley C. Love and W. Todd Maddox and Peter Stone
Humanlike Combat Behavior via Multiobjective Neuroevolution 2012
Jacob Schrum, Igor V. Karpov and Risto Miikkulainen
HyperNEAT-GGP: A HyperNEAT-based Atari General Game Player 2012
Matthew Hausknecht, Piyush Khandelwal, Risto Miikkulainen, Peter Stone
Improving Video Activity Recognition using Object Recognition and Text Mining 2012
Tanvi S. Motwani and Raymond J. Mooney
Information-theoretic lower bounds on the oracle complexity of convex optimization 2012
A. Agarwal and P. Bartlett and P. Ravikumar and M. Wainwright
Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity 2012
Manish Saggar, Brandon G King, Anthony P Zanesco, Katherine A MacLean, Stephen R Aichele, Tonya L Jacobs, David A Bridwell, Phillip R Shaver, Erika L Rosenberg, Baljinder K Sahdra, Emilio Ferrer, Akaysha C Tang, George R Mangun, B Alan Wallace, Risto Miikkulainen, and Clifford D Saron
Intrinsically Motivated Model Learning for a Developing Curious Agent 2012
Todd Hester and Peter Stone
Intrinsically Motivated Model Learning for a Developing Curious Agent 2012
Todd Hester and Peter Stone
Leading Ad Hoc Agents in Joint Action Settings with Multiple Teammates 2012
Noa Agmon and Peter Stone
Learning from feedback on actions past and intended 2012
W. Bradley Knox and Cynthia Breazeal and Peter Stone
Learning from Human-Generated Reward 2012
W. Bradley Knox
Learning Language from Ambiguous Perceptual Context 2012
David L. Chen
Learning Teammate Models for Ad Hoc Teamwork 2012
Samuel Barrett and Peter Stone and Sarit Kraus and Avi Rosenfeld
Learning to "Read Between the Lines" using Bayesian Logic Programs 2012
Sindhu Raghavan and Raymond J. Mooney and Hyeonseo Ku
Lloyd-Topor Completion and General Stable Models 2012
Vladimir Lifschitz and Fangkai Yang
Logic Programs with Intensional Functions 2012
Vladimir Lifschitz
Moving Object Segmentation Using Motor Signals 2012
Changhai Xu, Jingen Liu, and Benjamin Kuipers
Multiagent Learning through Neuroevolution 2012
Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, and Wesley Tansey
On Coordination in Practical Multi-Robot Patrol 2012
Noa Agmon and Chien-Liang Fok and Yehuda Emaliah and Peter Stone and Christine Julien and Sriram Vishwanath
On the Relation of Constraint Answer Set Programming Languages and Algorithms 2012
Yuliya Lierler
PAC Subset Selection in Stochastioc Multi-armed Bandits 2012
Shivaram Kalyanakrishnan and Ambuj Tewari and Peter Auer and Peter Stone
Parsing Combinatory Categorial Grammar via Planning in Answer Set Programming 2012
Yuliya Lierler and Peter Schueller
Perturbation based Large Margin Approach for Ranking 2012
E. Yang and A. Tewari and P. Ravikumar
Practical and Methodological Aspects of the Use of Cutting-Edge ASP Tools 2012
Marcello Balduccini and Yuliya Lierler
Reinforcement Learning from Human Reward: Discounting in Episodic Tasks 2012
W. Bradley Knox and Peter Stone
Reinforcement Learning with Human and MDP Reward 2012
W. Bradley Knox and Peter Stone
Representing First-Order Causal Theories by Logic Programs 2012
Paolo Ferraris, Joohyung Lee, Yuliya Lierler, Vladimir Lifschitz and Fangkai Yang
Review Quality Aware Collaborative Filtering 2012
Sindhu Raghavan and Suriya Ganasekar and Joydeep Ghosh
Role Selection in Ad Hoc Teamwork 2012
Katie Genter and Noa Agmon and Peter Stone
Setpoint Scheduling for Autonomous Vehicle Controllers 2012
Tsz-Chiu Au and Michael Quinlan and Peter Stone
Surviving Solver Sensitivity: An ASP Practitioner's Guide 2012
Bryan Silverthorn, Yuliya Lierler and Marius Schneider
Task decomposition with neuroevolution in extended predator-prey domain 2012
Ashish Jain, Anand Subramoney, Risto Miikkulainen
TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains. 2012
Todd Hester
The Common Core of Action Languages B and C 2012
Michael Gelfond and Vladimir Lifschitz
The Frame Problem, Then and Now 2012
Vladimir Lifschitz
The Nature of Belief-Directed Exploratory Choice in Human Decision-Making 2012
W. Bradley Knox and A. Ross Otto and Peter Stone and Bradley Love
The role of uncertainty and reward on eye movements in a virtual driving task 2012
Brian Sullivan, Leif Johnson, Constantin Rothkopf, Mary Hayhoe and Dana Ballard
Two-valued logic programs 2012
Vladimir Lifschitz
Type-Supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries 2012
Dan Garrette and Jason Baldridge
Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision 2012
Joohyun Kim and Raymond J. Mooney
Using a million cell simulation of the cerebellum: Network scaling and task generality 2012
Wen-Ke Li and Matthew J. Hausknecht and Peter Stone and Michael D. Mauk
Using Dynamic Rewards to Learn a Fully Holonomic Bipedal Walk 2012
Patrick MacAlpine and Peter Stone
Video: RoboCup Robot Soccer History 1997 – 2011 2012
Manuela Veloso and and Peter Stone
Weighted-Sequence Problem: ASP vs CASP and Declarative vs Problem Oriented Solving 2012
Yuliya Lierler, Shaden Smith, Miroslaw Truszczynski, Alex Westlund
{A}ustin {V}illa 2011: Sharing is Caring: Better Awareness through Information Sharing 2012
Samuel Barrett and Katie Genter and Todd Hester and Piyush Khandelwal and Michael Quinlan and Peter Stone and Mohan Sridharan
{RTMBA}: A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control 2012
Todd Hester and Michael Quinlan and Peter Stone
{TEXPLORE}: Real-Time Sample-Efficient Reinforcement Learning for Robots 2012
Todd Hester and Peter Stone
{UT} {A}ustin {V}illa 2011: A Champion Agent in the {R}obo{C}up 3{D} Soccer Simulation Competition 2012
Patrick MacAlpine and Daniel Urieli and Samuel Barrett and Shivaram Kalyanakrishnan and Francisco Barrera and Adrian Lopez-Mobilia and Nicolae Stiurca and Victor Vu and Peter Stone
{W}right {E}agle and {UT} {A}ustin {V}illa: {R}obo{C}up 2011 Simulation League Champions 2012
Aijun Bai and Xiaoping Chen and Patrick MacAlpine and Daniel Urieli and Samuel Barrett and Peter Stone
Generation of Geometric Programs Specified by Diagrams 2011
Yulin Li, Gordon Novak
A Low Cost Ground Truth Detection System Using the Kinect 2011
Piyush Khandelwal and Peter Stone
A modular reinforcement learning model for human visuomotor behavior in a driving task 2011
Brian Sullivan, Leif Johnson, Dana Ballard and Mary Hayhoe
A Particle Filter for Bid Estimation in Ad Auctions with Periodic Ranking Observations 2011
David Pardoe and Peter Stone
A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control 2011
Todd Hester and Michael Quinlan and Peter Stone
A Transition System for AC Language Algorithms 2011
Yuliya Lierler and Yuanlin Zhang
Abductive Markov Logic for Plan Recognition 2011
Parag Singla and Raymond J. Mooney
Abductive Plan Recognition by Extending Bayesian Logic Programs 2011
Sindhu Raghavan, Raymond J. Mooney
Abstract Answer Set Solvers with Backjumping and Learning 2011
Yuliya Lierler
Ad Hoc Teamwork Modeled with Multi-armed Bandits: An Extension to Discounted Infinite Rewards 2011
Samuel Barrett and Peter Stone
Adaptive Trading Agent Strategies Using Market Experience 2011
David Merrill Pardoe
An Integrated Neuroevolutionary Approach to Reactive Control and High-level Strategy 2011
Nate Kohl, Risto Miikkulainen
An Introduction to Inter-task Transfer for Reinforcement Learning 2011
Matthew E. Taylor and Peter Stone
ASP-Based Problem Solving with Cutting-Edge Tools 2011
Marcello Balduccini and Yuliya Lierler
Assisting Machine Learning Through Shaping, Advice and Examples 2011
Igor Karpov, Vinod Valsalam and Risto Miikkulainen
Austin Villa 2010 Standard Platform Team Report 2011
Samuel Barrett and Katie Genter and Matthew Hausknecht and Todd Hester and Piyush Khandelwal and Juhyun Lee and Michael Quinlan and Aibo Tian and Peter Stone and Mohan Sridharan
Autonomous Intersection Management: Multi-Intersection Optimization 2011
Matthew Hausknecht and Tsz-Chiu Au and Peter Stone
Building a Persistent Workforce on Mechanical Turk for Multilingual Data Collection 2011
David L. Chen and William B. Dolan
Characterizing Reinforcement Learning Methods through Parameterized Learning Problems 2011
Shivaram Kalyanakrishnan and Peter Stone
Collecting Highly Parallel Data for Paraphrase Evaluation 2011
David L. Chen and William B. Dolan
Comparing Agents: Success against People in Security Domains 2011
Raz Lin and Sarit Kraus and Noa Agmon and Samuel Barrett and Peter Stone
Constraint Propagation for Efficient Inference in Markov Logic 2011
Tivadar Papai, Parag Singla and Henry Kautz
Creating Intelligent Agents through Shaping of Coevolution 2011
Adam Dziuk and Risto Miikkulainen
Cross-Cutting Models of Lexical Semantics 2011
Joseph Reisinger and Raymond Mooney
Datalog Programs and Their Stable Models 2011
Vladimir Lifschitz
Dynamic Lane Reversal in Traffic Management 2011
Matthew Hausknecht and Tsz-Chiu Au and Peter Stone and David Fajardo and Travis Waller
Empirical Evaluation of Ad Hoc Teamwork in the Pursuit Domain 2011
Samuel Barrett and Peter Stone and Sarit Kraus
Empowerment for Continuous Agent-Environment Systems 2011
Tobias Jung and Daniel Polani and Peter Stone
Encoding and Decoding V1 fMRI Responses to Natural Images with Sparse Nonparametric Models 2011
V. Vu and P. Ravikumar and T. Naselaris and K. Kay and J. Gallant and B. Yu
Enforcing Liveness in Autonomous Traffic Management 2011
Tsz-Chiu Au and Neda Shahidi and Peter Stone
Evolving Multimodal Networks for Multitask Games 2011
Jacob Schrum and Risto Miikkulainen
Evolving Symmetry for Modular System Design 2011
Vinod K. Valsalam and Risto Miikkulainen
Extending Bayesian Logic Programs for Plan Recognition and Machine Reading 2011
Sindhu V. Raghavan
Fine-Grained Class Label Markup of Search Queries 2011
Joseph Reisinger and Marius Pasca
Flood Disaster Mitigation: A Real-world Challenge Problem for Multi-Agent Unmanned Surface Vehicles 2011
Paul Scerri and Balajee Kannan and Pras Velagapudi and Kate Macarthur and Peter Stone and Matthew E. Taylor and John Dolan and Alessandro Farinelli and Archie Chapman and Bernadine Dias and George Kantor
Generation of geometric programs specified by diagrams 2011
Yulin Li and Gordon S. Novak, Jr.
Greedy Algorithms for Structurally Constrained High Dimensional Problems 2011
A. Tewari and P. Ravikumar and I. Dhillon
High-dimensional covariance estimation by minimizing $ell_1$-penalized log-determinant divergence 2011
P. Ravikumar and M. J. Wainwright and G. Raskutti and B. Yu
Human-Assisted Neuroevolution Through Shaping, Advice and Examples 2011
Igor V. Karpov, Vinod K. Valsalam and Risto Miikkulainen
Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model 2011
Uli Grasemann, Swathi Kiran, Chaleece Sandberg and Risto Miikkulainen
Implementing Weighted Abduction in Markov Logic 2011
James Blythe, Jerry R. Hobbs, Pedro Domingos, Rohit J. Kate, Raymond J. Mooney
Improving the Accuracy and Scalability of Discriminative Learning Methods for Markov Logic Networks 2011
Tuyen N. Huynh
Integrating Logical Representations with Probabilistic Information using Markov Logic 2011
Dan Garrette, Katrin Erk, Raymond Mooney
John McCarthy, 1927-2011: The Scientist Who Set Computers on the Path to Common Sense 2011
Vladimir Lifschitz
Learning and Using Models 2011
Todd Hester and Peter Stone
Learning Geometry from Sensorimotor Experience 2011
Jeremy Stober, Risto Miikkulainen, and Benjamin Kuipers
Learning Polarity from Structure in SAT 2011
Bryan Silverthorn and Risto Miikkulainen
Learning to Interpret Natural Language Navigation Instructions from Observations 2011
David L. Chen and Raymond J. Mooney
Measure Theoretic Evolutionary Annealing 2011
Alan J. Lockett and Risto Miikkulainen
Modeling Acute and Compensated Language Disturbance in Schizophrenia 2011
Uli Grasemann, Ralph Hoffman and Risto Miikkulainen
Motion Segmentation by Learning Homography Matrices from Motor Signals 2011
Changhai Xu and Benjamin Kuipers
Multiagent Patrol Generalized to Complex Environmental Conditions 2011
Noa Agmon and Daniel Urieli and Peter Stone
Nearest Neighbor based Greedy Coordinate Descent 2011
I. Dhillon and P. Ravikumar and A. Tewari
Object Detection Using Principal Contour Fragments 2011
Changhai Xu and Benjamin Kuipers
On Elementary Loops of Logic Programs 2011
Martin Gebser, Joohyung Lee, Yuliya Lierler
On Learning Discrete Graphical Models using Greedy Methods 2011
Ali Jalali, and Christopher Johnson, and Pradeep Ravikumar
On Learning Discrete Graphical Models using Group-Sparse Regularization 2011
A. Jalali and P. Ravikumar and V. Vasuki and S. Sanghavi
On Learning with Imperfect Representations 2011
Shivaram Kalyanakrishnan and Peter Stone
On NDCG Consistency of Listwise Ranking Methods 2011
P. Ravikumar and A. Tewari and E. Yang
On Optimizing Interdependent Skills: A Case Study in Simulated 3D Humanoid Robot Soccer 2011
Daniel Urieli and Patrick MacAlpine and Shivaram Kalyanakrishnan and Yinon Bentor and Peter Stone
On the Minimality of Stable Models 2011
Paolo Ferraris and Vladimir Lifschitz
On the Use of Variational Inference for Learning Discrete Graphical Models 2011
E. Yang and P. Ravikumar
Online Max-Margin Weight Learning for Markov Logic Networks 2011
Tuyen N. Huynh and Raymond J. Mooney
Online Structure Learning for Markov Logic Networks 2011
Tuyen N. Huynh and Raymond J. Mooney
Panning for Gold: Finding Relevant Semantic Content for Grounded Language Learning 2011
David L. Chen and Raymond J. Mooney
Protecting Against Evaluation Overfitting in Empirical Reinforcement Learning 2011
Shimon Whiteson and Brian Tanner and Matthew E. Taylor and Peter Stone
Real-Space Evolutionary Annealing 2011
Alan J Lockett and Risto Miikkulainen
Role-Based Ad Hoc Teamwork 2011
Katie Genter and Noa Agmon and Peter Stone
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation 2011
C.-J. Hsieh and M. Sustik and I. Dhillon and P. Ravikumar
Stable Models and Circumscription 2011
Paolo Ferraris, Joohyung Lee, and Vladimir Lifschitz
Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree 2011
Doran Chakraborty and Peter Stone
Termination of Grounding is Not Preserved by Strongly Equivalent Transformations 2011
Yuliya Lierler and Vladimir Lifschitz
The Role of Reward Structure, Coordination Mechanism and Net Return in the Evolution of Cooperation 2011
Padmini Rajagopalan, Aditya Rawal, Risto Miikkulainen, Marc A. Wiseman and Kay E. Holekamp
Transition Systems for Model Generators --- A Unifying Approach 2011
Yuliya Lierler and Miroslaw Truszczynski
Understanding Human Teaching Modalities in Reinforcement Learning Environments: A Preliminary Report 2011
W. Bradley Knox and Peter Stone
Using Computational Patients to Evaluate Illness Mechanisms in Schizophrenia 2011
Ralph E. Hoffman, Uli Grasemann, Ralitza Gueorguieva, Donald Quinlan, Douglas Lane, and Risto Miikkulainen
Using visuo-spatial memory for novelty detection 2011
Dmitry Kit, Brian Sullivan and Dana Ballard
Utilizing Symmetry and Evolutionary Search to Minimize Sorting Networks 2011
Vinod K. Valsalam and Risto Miikkulainen
UT^2: Human-like Behavior via Neuroevolution of Combat Behavior and Replay of Human Traces 2011
Jacob Schrum, Igor V. Karpov and Risto Miikkulainen
Yet Another Characterization of Strong Equivalence 2011
Alexander Bochman and Vladimir Lifschitz
{UT} {A}ustin {V}illa 2011 3{D} {S}imulation {T}eam Report 2011
Patrick MacAlpine and Daniel Urieli and Samuel Barrett and Shivaram Kalyanakrishnan and Francisco Barrera and Adrian Lopez-Mobilia and Nicolae Stiurca and Victor Vu and Peter Stone
A Computational Model of Language Pathology in Schizophrenia 2010
Uli Grasemann
A Dirty Model for Multi-task Learning 2010
A. Jalali and P. Ravikumar and S. Sanghavi and C. Ruan
A Mixture Model with Sharing for Lexical Semantics 2010
Joseph Reisinger and Raymond J. Mooney
A Particle Filter for Bid Estimation in Ad Auctions with Periodic Ranking Observations 2010
David Pardoe and Peter Stone
Accounting for the Relative Importance of Objects in Image Retrieval 2010
S. J. Hwang and K. Grauman
Adaptive Auction Mechanism Design and the Incorporation of Prior Knowledge 2010
David Pardoe and Peter Stone and Maytal Saar-Tsechansky and Tayfun Keskin and Kerem Tomak
Asymmetric Region-to-Image Matching for Comparing Images with Generic Object Categories 2010
A. Kovashka and K. Grauman
Authorship Attribution Using Probabilistic Context-Free Grammars 2010
Sindhu Raghavan, Adriana Kovashka and Raymond Mooney
Autonomous Qualitative Learning of Distinctions and Actions in a Developing Agent 2010
Jonathan Mugan
Bayesian Abductive Logic Programs 2010
Sindhu Raghavan and Raymond Mooney
Behavioral, neuroimaging, and computational evidence for perceptual caching in repetition priming 2010
Manish Saggar, Risto Miikkulainen, David Schnyer
Boosting for Regression Transfer 2010
David Pardoe and Peter Stone
Bringing Simulation to Life: A Mixed Reality Autonomous Intersection 2010
Michael Quinlan and Tsz-Chiu Au and Jesse Zhu and Nicolae Stiurca and Peter Stone
Coevolution of Role-Based Cooperation in Multi-Agent Systems 2010
Chern Han Yong and Risto Miikkulainen
Collect-Cut: Segmentation with Top-Down Cues Discovered in Multi-Object Images 2010
Y.J. Lee and K. Grauman
Combining Manual Feedback with Subsequent MDP Reward Signals for Reinforcement Learning 2010
W. Bradley Knox and Peter Stone
Computational models inform clinical science and assessment: An application to category learning in striatal-damaged patients 2010
W. Todd Maddox, J. Vincent Filoteo and Dagmar Zeithamova
Constructing Competitive and Cooperative Agent Behavior Using Coevolution 2010
Aditya Rawal, Padmini Rajagopalan and Risto Miikkulainen
Controlled Kicking under Uncertainty 2010
Samuel Barrett and Katie Genter and Todd Hester and Michael Quinlan and Peter Stone
Convergence, Targeted Optimality and Safety in Multiagent Learning 2010
Doran Chakraborty and Peter Stone
Cross-cutting Models of Distributional Lexical Semantics 2010
Joseph S. Reisinger
Declarative Query Tuning and Optimization using Answer Set Programming 2010
Yuliya Lierler, Philip Cannata
Efficient Selection of Multiple Bandit Arms: Theory and Practice 2010
Shivaram Kalyanakrishnan and Peter Stone
Evolving Agent Behavior In Multiobjective Domains Using Fitness-Based Shaping 2010
Jacob Schrum and Risto Miikkulainen
Far-Sighted Active Learning on a Budget for Image and Video Recognition 2010
S. Vijayanarasimhan, P. Jain and K. Grauman
From C-Believed Propositions to the Causal Calculator 2010
Vladimir Lifschitz
Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration 2010
Tobias Jung and Peter Stone
Generalized Model Learning for Reinforcement Learning on a Humanoid Robot 2010
Todd Hester and Michael Quinlan and Peter Stone
Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision 2010
Joohyun Kim and Raymond J. Mooney
Information-theoretic lower bounds on the oracle complexity of sparse convex optimization 2010
A. Agarwal and P. Bartlett and P. Ravikumar and M. Wainwright
Joint Entity and Relation Extraction using Card-Pyramid Parsing 2010
Rohit J. Kate and Raymond J. Mooney
Latent Class Models for Algorithm Portfolio Methods 2010
Bryan Silverthorn and Risto Miikkulainen
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition 2010
A. Kovashka and K. Grauman
Learning for Semantic Parsing Using Statistical Syntactic Parsing Techniques 2010
Ruifang Ge
Learning Powerful Kicks on the Aibo ERS-7: The Quest for a Striker 2010
Matthew Hausknecht and Peter Stone
Learning to Predict Readability using Diverse Linguistic Features 2010
Rohit J. Kate, Xiaoqiang Luo, Siddharth Patwardhan, Martin Franz, Radu Florian, Raymond J. Mooney, Salim Roukos and Chris Welty
MARIOnET: Motion Acquisition for Robots through Iterative Online Evaluative Training 2010
Adam Setapen and Michael Quinlan and Peter Stone
Message-passing for graph-structured linear programs: proximal methods and rounding schemes 2010
P. Ravikumar and A. Agarwal and M. J. Wainwright
Motion Planning Algorithms for Autonomous Intersection Management 2010
Tsz-Chiu Au and Peter Stone
Multi-Prototype Vector-Space Models of Word Meaning 2010
Joseph Reisinger, Raymond J. Mooney
Neuroevolution 2010
Risto Miikkulainen
Object-Graphs for Context-Aware Category Discovery 2010
Y.J. Lee and K. Grauman
On the Stable Model Semantics of First-Order Formulas with Aggregates 2010
Paolo Ferraris and Vladimir Lifschitz
Online Max-Margin Weight Learning with Markov Logic Networks 2010
Tuyen N. Huynh and Raymond J. Mooney
Online Model Learning in Adversarial Markov Decision Processes (Extended Abstract) 2010
Doran Chakraborty and Peter Stone
Optimizing Interdependent Skills for Simulated 3D Humanoid Robot Soccer 2010
Daniel Urieli and Patrick MacAlpine and Shivaram Kalyanakrishnan and Yinon Bentor and Peter Stone
Reading Between The Lines: Object Localization Using Implicit Cues from Image Tags 2010
S.J. Hwang and K. Grauman
Real Time Targeted Exploration in Large Domains 2010
Todd Hester and Peter Stone
Representing Synonymity in Causal Logic and in Logic Programming 2010
Joohyung Lee, Yuliya Lierler, Vladimir Lifschitz and Fangkai Yang
SAT-Based Answer Set Programming 2010
Yuliya Lierler
Spherical Topic Models 2010
Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond J. Mooney
Structured Exploration for Reinforcement Learning 2010
Nicholas Kenneth Jong
TacTex09: A Champion Bidding Agent for Ad Auctions 2010
David Pardoe and Doran Chakraborty and Peter Stone
Thirteen Definitions of a Stable Model 2010
Vladimir Lifschitz
Top-Down Pairwise Potentials for Piecing Together Multi-Class Segmentation Puzzles 2010
S. Vijayanarasimhan and K. Grauman
Towards the Object Semantic Hierarchy 2010
Changhai Xu and Benjamin Kuipers
Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language 2010
David L. Chen, Joohyun Kim, Raymond J. Mooney
Transfer Learning for Reinforcement Learning on a Physical Robot 2010
Samuel Barrett and Matthew E. Taylor and Peter Stone
Translating First-Order Causal Theories into Answer Set Programming 2010
Vladimir Lifschitz and Fangkai Yang
Using Closed Captions as Supervision for Video Activity Recognition 2010
Sonal Gupta, Raymond J. Mooney
Utilizing Symmetry in Evolutionary Design 2010
Vinod Valsalam
Vision Calibration and Processing on a Humanoid Soccer Robot 2010
Piyush Khandelwal and Matthew Hausknecht and Juhyun Lee and Aibo Tian and Peter Stone
Knowledge integration across multiple texts 2009
Doo Soon Kim and Ken Barker and Bruce Porter
3D pose estimation for planes 2009
Changhai Xu, Benjamin Kuipers, and Aniket Murarka
A Comparison of Strategies for Developmental Action Acquisition in QLAP 2009
Jonathan Mugan and Benjamin Kuipers
A framework for planning comfortable and customizable motion of an assistive mobile robot 2009
Shilpa Gulati, Chetan Jhurani, Benjamin Kuipers, and Raul Longoria
A Modular Language for Describing Actions 2009
Wanwan Ren
A Population Gain Control Model of Spatiotemporal Responses in the Visual Cortex 2009
Yiu Fai Sit
A Scalable Problem-Solver for Large Knowledge-Bases 2009
S. Chaw, K. Barker, B. Porter, D. Tecuci, and Peter Yeh
A stereo vision based 3D mapping algorithm for detecting ramps, drop-offs, and obstacles for safe local navigation 2009
Aniket Murarka and Benjamin Kuipers
A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers 2009
S. Negahban and P. Ravikumar and M. J. Wainwright and B. Yu
Activity Retrieval in Closed Captioned Videos 2009
Sonal Gupta
An Empirical Analysis of Value Function-Based and Policy Search Reinforcement Learning 2009
Shivaram Kalyanakrishnan and Peter Stone
An Empirical Comparison of Abstraction in Models of Markov Decision Processes 2009
Todd Hester and Peter Stone
Autonomously Learning an Action Hierarchy Using a Learned Qualitative State Representation 2009
Jonathan Mugan and Benjamin Kuipers
Cognitive Task Analysis for Developing UAV Wilderness Search Support 2009
Julie A. Adams, Curtis M. Humphrey, Michael A. Goodrich, Joseph L. Cooper, Bryan S. Morse, Cameron Engh and Nathan Rasmussen
Color Learning and Illumination Invariance on Mobile Robots: A Survey 2009
Mohan Sridharan and Peter Stone
Complex Dynamics of V1 Population Responses Explained by a Simple Gain-Control Model 2009
Yiu Fai Sit, Yuzhi Chen, Wilson S. Geisler, Risto Miikkulainen, and Eyal Seidemann
Compositional Models for Reinforcement Learning 2009
Nicholas K. Jong and Peter Stone
Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing 2009
Yiu Fai Sit and Risto Miikkulainen
Computer aided software design via inference and constraint propagation 2009
Gordon Novak
Connectivity-based Localization in Robot Networks 2009
Tobias Jung and Mazda Ahmadi and Peter Stone
Constructing a semantic interpreter using distributional analysis 2009
Michael Glass, Ken Barker, Rekha Kumar, Guhan Ravi and Bruce Porter
Construction of the Object Semantic Hierarchy 2009
Changhai Xu and Benjamin Kuipers
Critical Factors in the Empirical Performance of Temporal Difference and Evolutionary Methods for Reinforcement Learning 2009
Shimon Whiteson and Matthew E. Taylor and Peter Stone
Design Principles for Creating Human-Shapable Agents 2009
W. Bradley Knox and Ian Fasel and Peter Stone
Diagnosis and Reconfiguration using Bayesian Networks: An Electrical Power System Case Study 2009
W. Bradley Knox and Ole Mengshoel
Discriminative Learning with Markov Logic Networks 2009
Tuyen N. Huynh
Evolving Multi-modal Behavior in NPCs 2009
Jacob Schrum and Risto Miikkulainen
Evolving Neural Networks for Strategic Decision-Making Problems 2009
Nate Kohl and Risto Miikkulainen
Evolving Symmetric and Modular Neural Network Controllers for Multilegged Robots 2009
Vinod K. Valsalam and Risto Miikkulainen
Evolving Symmetric and Modular Neural Networks for Distributed Control 2009
Vinod K. Valsalam and Risto Miikkulainen
Feature Selection for Value Function Approximation Using Bayesian Model Selection 2009
Tobias Jung and Peter Stone
Generalized Domains for Empirical Evaluations in Reinforcement Learning 2009
Shimon Whiteson and Brian Tanner and Matthew E. Taylor and Peter Stone
Generalized Model Learning for Reinforcement Learning in Factored Domains 2009
Todd Hester and Peter Stone
Hyperlearning: A Connectionist Model of Psychosis in Schizophrenia 2009
Uli Grasemann, Risto Miikkulainen and Ralph Hoffman
Improving Particle Filter Performance Using SSE Instructions 2009
Peter Djeu and Michael Quinlan and Peter Stone
Information-theoretic lower bounds on the oracle complexity of convex optimization 2009
A. Agarwal and P. Bartlett and P. Ravikumar and M. Wainwright
Interactively Shaping Agents via Human Reinforcement: The TAMER Framework 2009
W. Bradley Knox and Peter Stone
Kernelized Locality-Sensitive Hashing for Scalable Image Search 2009
B. Kulis and K. Grauman
Kleo: A Bootstrapping Learning-by-reading System 2009
Doo Soon Kim and Bruce Porter
Leading a Best-Response Teammate in an Ad Hoc Team 2009
Peter Stone and Gal A. Kaminka and Jeffrey S. Rosenschein
Learning a Compositional Semantic Parser using an Existing Syntactic Parser 2009
Ruifang Ge and Raymond J. Mooney
Learning Complementary Multiagent Behaviors: A Case Study 2009
Shivaram Kalyanakrishnan and Peter Stone
Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution 2009
Thomas D'Silva, Risto Miikkulainen
Learning in Fractured Problems for Constructive Neural Network Algorithms 2009
Nate Kohl
Learning Language from Perceptual Context 2009
David L. Chen
Learning the Sensorimotor Structure of the Foveated Retina 2009
Jeremy Stober, Lewis Fishgold, and Benjamin Kuipers
Learning to Disambiguate Search Queries from Short Sessions 2009
Lilyana Mihalkova and Raymond Mooney
Learning with Markov Logic Networks: Transfer Learning, Structure Learning, and an Application to Web Query Disambiguation 2009
Lilyana Mihalkova
Max-Margin Weight Learning for Markov Logic Networks 2009
Tuyen N. Huynh and Raymond J. Mooney
Max-Margin Weight Learning for Markov Logic Networks 2009
Tuyen N. Huynh and Raymond J. Mooney
Modeling the Bilingual Lexicon of an Individual Subject 2009
Risto Miikkulainen and Swathi Kiran
Navigation, Control and Recovery of the ENDURANCE Under-ice Hovering AUV 2009
Kristof Richmond, Shilpa Gulati, Chris Flesher, Bartholomew P. Hogan, and William C. Stone
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates 2009
Jaechul Kim and Kristen Grauman
One More Decidable Class of Finitely Ground Programs 2009
Yuliya Lierler and Vladimir Lifschitz
Probabilistic Abduction using Markov Logic Networks 2009
Rohit J. Kate and Raymond J. Mooney
Semi-supervised graph clustering: a kernel approach 2009
Brian Kulis, Sugato Basu, Inderjit Dhillon, and Raymond Mooney
Sensor Map Discovery for Developing Robots 2009
Jeremy Stober, Lewis Fishgold, and Benjamin Kuipers
Shape Discovery from Unlabeled Image Collections 2009
Y. J. Lee and K. Grauman
Skill Reuse in Lifelong Developmental Learning 2009
Jonathan Mugan and Benjamin Kuipers
Sparse Additive Models 2009
P. Ravikumar and J. Lafferty and H. Liu and L. Wasserman
Speeding up Inference In Statistical Relational Learning by Clustering Similar Query Literals 2009
Lilyana Mihalkova and Matthew Richardson
Spherical Topic Models 2009
Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond Mooney
Sub-ice exploration of West Lake Bonney: ENDURANCE 2008 Mission 2009
Bill Stone, Bart Hogan, Chris Flesher, Shilpa Gulati, Kristof Richmond, Aniket Murarka, Gregory Kuhlmann, and Mohan Sridharan
Symmetric Splitting in the General Theory of Stable Models 2009
Paolo Ferraris, Joohyung Lee, Vladimir Lifschitz, and Ravi Palla
Temporal Convolution Machines for Sequence Learning 2009
Alan J Lockett and Risto Miikkulainen
The UT Austin Villa 3D Simulation Soccer Team 2008 2009
Shivaram Kalyanakrishnan and Yinon Bentor and Peter Stone
Three Humanoid Soccer Platforms: Comparison and Synthesis 2009
Shivaram Kalyanakrishnan and Todd Hester and Michael Quinlan and Yinon Bentor and Peter Stone
Towards a Safe, Low-Cost, Intelligent Wheelchair 2009
Aniket Murarka, Shilpa Gulati, Patrick Beeson, and Benjamin Kuipers
Towards using Unmanned Aerial Vehicles (UAVs) in Wilderness Search and Rescue: Lessons from field trials 2009
Michael A. Goodrich, Bryan S. Morse, Cameron Engh, Joseph L. Cooper and Julie A. Adams
Transfer Learning for Reinforcement Learning Domains: A Survey 2009
Matthew E. Taylor and Peter Stone
Transfer Learning from Minimal Target Data by Mapping across Relational Domains 2009
Lilyana Mihalkova and Raymond Mooney
TT-UT Austin Villa 2009: Naos across Texas 2009
Todd Hester and Michael Quinlan and Peter Stone and Mohan Sridharan
Using Closed Captions to Train Activity Recognizers that Improve Video Retrieval 2009
Sonal Gupta and Raymond Mooney
Vision based frozen surface egress: A docking algorithm for the ENDURANCE AUV 2009
Aniket Murarka, Gregory Kuhlmann, Shilpa Gulati, Mohan Sridharan, Chris Flesher, and Bill Stone
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations 2009
S. Vijayanarasimhan and K. Grauman
A Library of General-Purpose Action Descriptions 2008
Selim T. Erdoğan
A Dependency-based Word Subsequence Kernel 2008
Rohit J. Kate
A General Purpose Task Specification Language for Bootstrap Learning 2008
Ian Fasel and Michael Quinlan and Peter Stone
A Multiagent Approach to Autonomous Intersection Management 2008
Kurt Dresner and Peter Stone
A Neural Network-Based Approach to Robot Motion Control 2008
Uli Grasemann and Daniel Stronger and Peter Stone
A Reductive Semantics for Counting and Choice in Answer Set Programming 2008
Joohyung Lee, Vladimir Lifschitz, and Ravi Palla
Abstract Answer Set Solvers 2008
Yuliya Lierler
Accelerated Neural Evolution through Cooperatively Coevolved Synapses 2008
Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen
Autonomous Transfer for Reinforcement Learning 2008
Matthew E. Taylor and Gregory Kuhlmann and Peter Stone
Category Learning Systems 2008
Dagmar Zeithamova
Competition Between Reinforcement Learning Methods in a Predator-Prey Grid World 2008
Jacob Schrum
Constructing Complex NPC Behavior via Multi-Objective Neuroevolution 2008
Jacob Schrum and Risto Miikkulainen
Continuous-domain reinforcement learning using a learned qualitative state representation 2008
Jonathan Mugan and Benjamin Kuipers
Coupling Data Understanding with Software Reuse 2008
Gordon Novak
Creating and Utilizing Symbolic Representations of Spatial Knowledge using Mobile Robots 2008
Patrick Beeson
Detecting obstacles and drop-offs using stereo and motion cues for safe local motion 2008
Aniket Murarka, Mohan Sridharan and Benjamin Kuipers
Discriminative Structure and Parameter Learning for Markov Logic Networks 2008
Tuyen N. Huynh and Raymond J. Mooney
Dissociable prototype learning systems: Evidence from brain imaging and behavior 2008
Dagmar Zeithamova, W. Todd Maddox and David M. Schnyer
Evolving Controllers for Simulated Car Racing using Neuroevolution 2008
Aravind Gowrisankar
Evolving Neural Networks for Fractured Domains 2008
Nate Kohl and Risto Miikkulainen
Evolving Opponent Models for Texas Hold 'Em 2008
Alan J Lockett and Risto Miikkulainen
Fast Image Search for Learned Metrics 2008
P. Jain, B. Kulis, and K. Grauman
Foreground Focus: Finding Meaningful Features in Unlabeled Images 2008
Y. J. Lee and K. Grauman
From pixels to policies: a bootstrapping agent 2008
Jeremy Stober and Benjamin Kuipers
Hierarchical Model-Based Reinforcement Learning: Rmax + MAXQ 2008
Nicholas K. Jong and Peter Stone
High Performance Control for Graceful Motion of an Intelligent Wheelchair 2008
Shilpa Gulati and Benjamin Kuipers
Improving semantic integration by learning semantic interpretation rules 2008
Michael Glass and Bruce Porter
Incremental Nonmonotonic Sentence Interpretation through Semantic Self-Organization 2008
Marshall R. Mayberry III and Risto Miikkulainen
Instance-Based Action Models for Fast Action Planning 2008
Mazda Ahmadi and Peter Stone
Integrating declarative knowledge: Issues, Algorithms and Future Work 2008
Doo Soon Kim and Bruce Porter
Inter-Classifier Feedback for Human-Robot Interaction in a Domestic Setting 2008
Juhyun Lee and W. Bradley Knox and Peter Stone
Keywords to Visual Categories: Multiple-Instance Learning for Weakly Supervised Object Categorization 2008
S. Vijayanarasimhan and K. Grauman
Knowledge Representation and Classical Logic 2008
Vladimir Lifschitz, Leora Morgenstern and David Plaisted
Knowledge Representation and Question Answering 2008
Marcello Balduccini, Chitta Baral, Yuliya Lierler
Learning to Connect Language and Perception 2008
Raymond J. Mooney
Learning to Sportscast: A Test of Grounded Language Acquisition 2008
David L. Chen and Raymond J. Mooney
Maximum Likelihood Estimation of Sensor and Action Model Functions on a Mobile Robot 2008
Daniel Stronger and Peter Stone
Memory Processes in Perceptual Decision Making 2008
Manish Saggar, Risto Miikkulainen, David M Schnyer
Message-passing for graph-structured linear programs: Proximal projections, convergence and rounding schemes 2008
P. Ravikumar and A. Agarwal and M. J. Wainwright
Mitigating Catastrophic Failure at Intersections of Autonomous Vehicles 2008
Kurt Dresner and Peter Stone
Model selection in Gaussian graphical models: High-dimensional consistency of $ell_1$-regularized MLE 2008
P. Ravikumar and M. J. Wainwright and G. Raskutti and B. Yu
Model-based Reinforcement Learning in a Complex Domain 2008
Shivaram Kalyanakrishnan and Peter Stone and Yaxin Liu
Modular Neuroevolution for Multilegged Locomotion 2008
Vinod K. Valsalam and Risto Miikkulainen
Motion Perception and the Scene Statistics of Motion 2008
Tal Tversky
Multi-Level Active Prediction of Useful Image Annotations for Recognition 2008
S. Vijayanarasimhan and K. Grauman
Multiagent Interactions in Urban Driving 2008
Patrick Beeson and Jack O'Quin and Bartley Gillan and Tarun Nimmagadda and Mickey Ristroph and David Li and Peter Stone
Negative Information and Line Observations for Monte Carlo Localization 2008
Todd Hester and Peter Stone
Nonparametric sparse hierarchical models describe V1 fmri responses to natural images 2008
P. Ravikumar and V. Vu and B. Yu and T. Naselaris and K. Kay and J. Gallant
Online Kernel Selection for Bayesian Reinforcement Learning 2008
Joseph Reisinger and Peter Stone and Risto Miikkulainen
Online Metric Learning and Fast Similarity Search 2008
P. Jain, B. Kulis, I. Dhillon, and K. Grauman
Online Multiagent Learning against Memory Bounded Adversaries 2008
Doran Chakraborty and Peter Stone
Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents 2008
Daniel Stronger and Peter Stone
Ray-based color image segmentation 2008
Changhai Xu, Yong Jae Lee, and Benjamin Kuipers
Replacing the Stop Sign: Unmanaged Intersection Control for Autonomous Vehicles 2008
Mark VanMiddlesworth and Kurt Dresner and Peter Stone
Safe Formulas in the General Theory of Stable Models (preliminary report) 2008
Joohyung Lee, Vladimir Lifschitz, and Ravi Palla
Search Query Disambiguation from Short Sessions 2008
Lilyana Mihalkova and Raymond Mooney
Supporting Flight Control for UAV-Assisted Wilderness Search and Rescue Through Human Centered Interface Design 2008
Joseph L. Cooper
Supporting Wilderness Search and Rescue using a Camera-Equipped Mini UAV 2008
Michael A. Goodrich, Bryan S. Morse, Damon Gerhardt, Joseph L. Cooper, Morgan Quigley, Julie A. Adams and Curtis Humphrey
The 2007 TAC SCM Prediction Challenge 2008
David Pardoe and Peter Stone
The Utility of Temporal Abstraction in Reinforcement Learning 2008
Nicholas K. Jong and Todd Hester and Peter Stone
Towards Combining UAV and Sensor Operator Roles in UAV-Enabled Visual Search 2008
Joseph L. Cooper and Michael A. Goodrich
Towards the Application of Reinforcement Learning to Undirected Developmental Learning 2008
Jonathan Mugan and Benjamin Kuipers
Trajectory generation for dynamic bipedal walking through qualitative model based manifold learning 2008
Subramanian Ramamoorthy and Benjamin Kuipers
Transfer Learning and Intelligence: an Argument and Approach 2008
Matthew E. Taylor and Gregory Kuhlmann and Peter Stone
Transfer Learning by Mapping with Minimal Target Data 2008
Lilyana Mihalkova and Raymond J. Mooney
Transfer of Evolved Pattern-Based Heuristics in Games 2008
Erkin Bahceci and Risto Miikkulainen
Transferring Instances for Model-Based Reinforcement Learning 2008
Matthew E. Taylor and Nicholas K. Jong and Peter Stone
Transforming Meaning Representation Grammars to Improve Semantic Parsing 2008
Rohit J. Kate
Twelve Definitions of a Stable Model 2008
Vladimir Lifschitz
UT Austin Villa 2008: Standing on Two Legs 2008
Todd Hester, Michael Quinlan, and Peter Stone
Watch, Listen & Learn: Co-training on Captioned Images and Videos 2008
Sonal Gupta, Joohyun Kim, Kristen Grauman and Raymond Mooney
What Is Answer Set Programming? 2008
Vladimir Lifschitz
A Characterization of Strong Equivalence for Logic Programs with Variables 2007
Vladimir Lifschitz, David Pearce and Agustin Valverde
A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot 2007
Daniel Stronger and Peter Stone
A computational model of the motivation-learning interface 2007
Manish Saggar, Arthur B Markman, W Todd Maddox, Risto Miikkulainen
A Computational Model of the Signals in Optical Imaging with Voltage-Sensitive Dyes 2007
Yiu Fai Sit and Risto Miikkulainen
A Logic Program Characterization of Causal Theories 2007
Paolo Ferraris
A New Perspective on Stable Models 2007
Paolo Ferraris, Joohyung Lee and Vladimir Lifschitz
A Subsymbolic Model of Language Pathology in Schizophrenia 2007
Uli Grasemann, Risto Miikkulainen, Ralph Hoffman
Accelerating Search with Transferred Heuristics 2007
Matthew E. Taylor and Gregory Kuhlmann and Peter Stone
Acquiring Evolvability through Adaptive Representations 2007
Joseph Reisinger and Risto Miikkulainen
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution 2007
Bobby D. Bryant and Risto Miikkulainen
Action Selection for Illumination Invariant Color Learning 2007
Mohan Sridharan and Peter Stone
Active Learning with Gaussian Processes for Object Categorization 2007
A. Kapoor, K. Grauman, R. Urtasun, and T. Darrell
Adapting Price Predictions in TAC SCM 2007
David Pardoe and Peter Stone
Adaptive Tile Coding for Value Function Approximation 2007
Shimon Whiteson and Matthew E. Taylor and Peter Stone
An Autonomous Agent for Supply Chain Management 2007
David Pardoe and Peter Stone
Approximate Correspondences in High Dimensions 2007
K. Grauman and T. Darrell
Approximate inference, structure learning and feature estimation in Markov random fields 2007
P. Ravikumar
Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition 2007
Michael P. Wellman and Amy Greenwald and Peter Stone
Autonomous Development of a Grounded Object Ontology by a Learning Robot 2007
Joseph Modayil and Benjamin Kuipers
Autonomous Learning of Stable Quadruped Locomotion 2007
Manish Saggar and Thomas D'Silva and Nate Kohl and Peter Stone
Autonomous Return on Investment Analysis of Additional Processing Resources 2007
Jonathan Wildstrom and Peter Stone and Emmett Witchel
Batch Reinforcement Learning in a Complex Domain 2007
Shivaram Kalyanakrishnan and Peter Stone
Bottom-Up Learning of Markov Logic Network Structure 2007
Lilyana Mihalkova and Raymond J. Mooney
Cmodels: SAT-based Answer Set Programming System 2007
Yuliya Lierler and Marco Maratea
Coevolution of Role-Based Cooperation in Multi-Agent Systems 2007
Chern Han Yong and Risto Miikkulainen
Coevolving Strategies for General Game Playing 2007
Joseph Reisinger, Erkin Bahceci, Igor Karpov and Risto Miikkulainen
Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination 2007
Mohan Sridharan and Peter Stone
Cross-Domain Transfer for Reinforcement Learning 2007
Matthew E. Taylor and Peter Stone
DARPA Urban Challenge Technical Report: Austin Robot Technology 2007
Peter Stone and Patrick Beeson and Tekin Mericli and Ryan Madigan
Detecting Motion in the Environment with a Moving Quadruped Robot 2007
Peggy Fidelman, Thayne Coffman and Risto Miikkulainen
Developing Complex Systems Using Evolved Pattern Generators 2007
Vinod K. Valsalam, James A. Bednar and Risto Miikkulainen
Effects of Acquisition Rate on Emergent Structure in Phonological Development 2007
Melissa A. Redford and Risto Miikkulainen
Empirical Studies in Action Selection for Reinforcement Learning 2007
Shimon Whiteson and Matthew E. Taylor and Peter Stone
Evolving Explicit Opponent Models for Game Play 2007
Alan Lockett, Charles Chen, and Risto Miikkulainen
Expressiveness of Answer Set Languages 2007
Paolo Ferraris
Extracting Relations from Text: From Word Sequences to Dependency Paths 2007
Razvan C. Bunescu and Raymond J. Mooney
Following Natural Language Route Instructions 2007
Matthew T. MacMahon
General Game Learning using Knowledge Transfer 2007
Bikramjit Banerjee and Peter Stone
Generation by Inverting a Semantic Parser That Uses Statistical Machine Translation 2007
Yuk Wah Wong and Raymond J. Mooney
Graph-Based Domain Mapping for Transfer Learning in General Games 2007
Gregory Kuhlmann and Peter Stone
Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study 2007
Shivaram Kalyanakrishnan and Yaxin Liu and Peter Stone
Handling Granularity Differences in Knowledge Integration 2007
Doo Soon Kim and Bruce Porter
Head-Elementary-Set-Free Logic Programs 2007
Martin Gebser, Joohyung Lee, and Yuliya Lierler
IFSA: Incremental Feature-Set Augmentation for Reinforcement Learning Tasks 2007
Mazda Ahmadi and Matthew E. Taylor and Peter Stone
Improving Learning of Markov Logic Networks using Transfer and Bottom-Up Induction 2007
Lilyana Mihalkova
Inferring Phylogenetic Trees Using Answer Set Programming 2007
Daniel R. Brooks, Esra Erdem, Selim T. Erdogan, James W. Minett, and Donald Ringe
Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication 2007
Patrick Beeson, Matt MacMahon, Joseph Modayil, Aniket Murarka, Benjamin Kuipers, and Brian Stankiewicz
Intelligent Autonomous Robotics: A Robot Soccer Case Study 2007
Peter Stone
Learning and Multiagent Reasoning for Autonomous Agents 2007
Peter Stone
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned 2007
Ken Barker, Bhalchandra Agashe, Shaw-Yi Chaw, James Fan, Noah Friedland, Michael Glass, Jerry Hobbs, Eduard Hovy, David Israel, Doo Soon Kim, Rutu Mulkar-Mehta, Sourabh Patwardhan, Bruce Porter, Dan Tecuci, and Peter Yeh
Learning distinctions and rules in a continuous world through active exploration 2007
Jonathan Mugan and Benjamin Kuipers
Learning for Information Extraction: From Named Entity Recognition and Disambiguation To Relation Extraction 2007
Razvan Constantin Bunescu
Learning for Semantic Parsing 2007
Raymond J. Mooney
Learning for Semantic Parsing and Natural Language Generation Using Statistical Machine Translation Techniques 2007
Yuk Wah Wong
Learning for Semantic Parsing with Kernels under Various Forms of Supervision 2007
Rohit J. Kate
Learning Language Semantics from Ambiguous Supervision 2007
Rohit J. Kate and Raymond J. Mooney
Learning Policy Selection for Autonomous Intersection Management 2007
Kurt Dresner and Peter Stone
Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus 2007
Yuk Wah Wong and Raymond J. Mooney
Learning to Extract Relations from the Web using Minimal Supervision 2007
Razvan C. Bunescu and Raymond J. Mooney
Learning to predict the effects of actions: synergy between rules and landmarks 2007
Jonathan Mugan and Benjamin Kuipers
Machine Learning for On-Line Hardware Reconfiguration 2007
Jonathan Wildstrom and Peter Stone and Emmett Witchel and Mike Dahlin
Mapping and Revising Markov Logic Networks for Transfer Learning 2007
Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Mooney
MARLEDA: Effective Distribution Estimation Through Markov Random Fields 2007
Matthew Alden
Model-Based Exploration in Continuous State Spaces 2007
Nicholas K. Jong and Peter Stone
Model-Based Function Approximation for Reinforcement Learning 2007
Nicholas K. Jong and Peter Stone
Modeling the self-organization of color selectivity in the visual cortex 2007
Judah Ben De Paula
Multiagent learning is not the answer. It is the question 2007
Peter Stone
Multiple Instance Learning for Sparse Positive Bags 2007
Razvan C. Bunescu and Raymond J. Mooney
Planning Actions to Enable Color Learning on a Mobile Robot 2007
Mohan Sridharan and Peter Stone
Propositional Theories are Strongly equivalent to Logic Programs 2007
Pedro Cabalar and Paolo Ferraris
Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences 2007
K. Grauman and T. Darrell
Reinforcement Learning in High-Diameter, Continuous Environments 2007
Jefferson Provost
Representation Transfer for Reinforcement Learning 2007
Matthew E. Taylor and Peter Stone
Robot Developmental Learning of an Object Ontology Grounded in Sensorimotor Experience 2007
Joseph Modayil
Selective Visual Attention for Object Detection on a Legged Robot 2007
Daniel Stronger and Peter Stone
Self-Organizing Distinctive State Abstraction Using Options 2007
Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen
Semantic Boost on Episodic Associations: An Empirically Based Computational Model 2007
Yaron Silberman, Shlomo Bentin, and Risto Miikkulainen
Semi-Supervised Learning for Semantic Parsing using Support Vector Machines 2007
Rohit J. Kate and Raymond J. Mooney
Sharing the Road: Autonomous Vehicles meet Human Drivers 2007
Kurt Dresner and Peter Stone
Sneaking up on the Hard Problem of consciousness 2007
Benjamin Kuipers
SpAM: sparse additive models 2007
P. Ravikumar and J. Lafferty and H. Liu and L. Wasserman
Statistical Relational Learning for Natural Language Information Extraction 2007
Razvan Bunescu and Raymond J. Mooney
Structure Based Color Learning on a Mobile Robot under Changing Illumination 2007
Mohan Sridharan and Peter Stone
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks 2007
Manish Saggar, Tekin Mericli, Sari Andoni, Risto Miikkulainen
Task Encoding, Motion Planning and Intelligent Control with Qualitative Models 2007
Subramanian Ramamoorthy
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison 2007
Matthew E. Taylor and Shimon Whiteson and Peter Stone
The Chin Pinch: A Case Study in Skill Learning on a Legged Robot 2007
Peggy Fidelman and Peter Stone
The Pyramid Match: Efficient Learning with Partial Correspondences 2007
K. Grauman
The Semantics of Variables in Action Descriptions 2007
Vladimir Lifschitz and Wanwan Ren
The UT Austin Villa 3D Simulation Soccer Team 2007 2007
Shivaram Kalyanakrishnan and Peter Stone
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning 2007
Matthew E. Taylor and Peter Stone and Yaxin Liu
Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning 2007
Matthew E. Taylor and Shimon Whiteson and Peter Stone
Using a Mini-UAV to Support Wilderness Search and Rescue Practices for Human-Robot Teaming 2007
Michael A. Goodrich, Joseph L. Cooper, Julie A. Adams, Curtis Humphrey, Ron Zeeman and Brian G. Buss
Variables in Action Descriptions: Merging C+ with ADL 2007
Vladimir Lifschitz and Wanwan Ren
Where do actions come from? Autonomous robot learning of objects and actions 2007
Joseph Modayil and Benjamin Kuipers
Why the Monkey Needs the Box: a Serious Look at a Toy Domain 2007
Selim T. Erdoğan, Paolo Ferraris, Vladimir Lifschitz and Wanwan Ren
Adapting proposal distributions for accurate, efficient mobile robot localization 2006
Patrick Beeson, Aniket Murarka, and Benjamin Kuipers
A Generalization of the Lin-Zhao Theorem 2006
Paolo Ferraris, Joohyung Lee and Vladimir Lifschitz
A Knowledge Module: Buying and Selling 2006
Joohyung Lee and Vladimir Lifschitz
A Modular Action Description Language 2006
Vladimir Lifschitz and Wanwan Ren
A Multi-Robot System for Continuous Area Sweeping Tasks 2006
Mazda Ahmadi and Peter Stone
A Unified Knowledge Based Approach for Sense Disambiguation and Semantic Role Labeling 2006
Peter Yeh, Bruce Porter, Ken Barker
Actions as Special Cases 2006
Selim T. Erdoğan and Vladimir Lifschitz
Adapting to Workload Changes Through On-The-Fly Reconfiguration 2006
Jonathan Wildstrom and Peter Stone and Emmett Witchel and Mike Dahlin
Adaptive Blocking: Learning to Scale Up Record Linkage 2006
Mikhail Bilenko, Beena Kamath, Raymond J. Mooney
Adaptive Mechanism Design: A Metalearning Approach 2006
David Pardoe and Peter Stone and Maytal Saar-Tsechansky and Kerem Tomak
Answer Set Programming based on Propositional Satisfiability 2006
Enrico Giunchiglia, Yuliya Lierler, and Marco Maratea
Automatic Heuristic Construction in a Complete General Game Player 2006
Gregory Kuhlmann and Kurt Dresner and Peter Stone
Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data 2006
Mohan Sridharan and Peter Stone
Autonomous Shape Model Learning for Object Localization and Recognition 2006
Joseph Modayil and Benjamin Kuipers
Building local safety maps for a wheelchair robot using vision and lasers 2006
Aniket Murarka, Joseph Modayil, and Benjamin Kuipers
Causal Theories as Logic Programs 2006
Paolo Ferraris
Cobot in LambdaMOO: An Adaptive Social Statistics Agent 2006
Charles Lee Isbell and Michael Kearns and Satinder Singh and Christian Shelton and Peter Stone and Dave Kormann
Coevolution of Neural Networks using a Layered Pareto Archive 2006
German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen
Comparing Evolutionary and Temporal Difference Methods for Reinforcement Learning 2006
Matthew Taylor and Shimon Whiteson and Peter Stone
Computational Intelligence in Games 2006
Risto Miikkulainen, Bobby D. Bryant, Ryan Cornelius, Igor V. Karpov, Kenneth O. Stanley, and Chern Han Yong
Converting RGB Images to LMS Cone Activations 2006
Judah B. De Paula
Creating Intelligent Agents in Games 2006
Risto Miikkulainen
Designing Safe, Profitable Automated Stock Trading Agents Using Evolutionary Algorithms 2006
Harish Subramanian and Subramanian Ramamoorthy and Peter Stone and Benjamin Kuipers
Developing navigation behavior through self-organizing distinctive state abstraction 2006
Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen
Discriminative Reranking for Semantic Parsing 2006
Ruifang Ge and Raymond J. Mooney
Efficient Non-Linear Control through Neuroevolution 2006
Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen
Elementary Sets for Logic Programs 2006
Martin Gebser, Joohyung Lee, and Yuliya Lierler
Eliminating Weight Constraints in Polynomial Time 2006
Paolo Ferraris
Establishing an Appropriate Learning Bias Through Development 2006
Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen
Evolutionary Function Approximation for Reinforcement Learning 2006
Shimon Whiteson and Peter Stone
Evolving a Real-World Vehicle Warning System 2006
Nate Kohl, Kenneth Stanley, Risto Miikkulainen, Michael Samples, and Rini Sherony
Evolving Robot Arm Controllers Using the NEAT Neuroevolution Method 2006
Thomas W. D'Silva
Evolving Stochastic Controller Networks for Intelligent Game Agents 2006
Bobby D. Bryant and Risto Miikkulainen
Evolving Visibly Intelligent Behavior for Embedded Game Agents 2006
Bobby D. Bryant
Experiments with SAT-based Answer Set Programming 2006
Enrico Giunchiglia, Yuliya Lierler, Marco Maratea, and Armando Tacchella
Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents 2006
Bobby D. Bryant and Risto Miikkulainen
Fast and Effective Worm Fingerprinting via Machine Learning 2006
Stewart Yang, Jianping Song, Harish Rajamani, Taewon Cho, Yin Zhang and Raymond Mooney
Fast and Effective Worm Fingerprinting via Machine Learning 2006
Stewart Yang, Jianping Song, Harish Rajamani, Taewon Cho, Yin Zhang and Raymond Mooney
From Pixels to Multi-Robot Decision-Making: A Study in Uncertainty 2006
Peter Stone and Mohan Sridharan and Daniel Stronger and Gregory Kuhlmann and Nate Kohl and Peggy Fidelman and Nicholas K. Jong
Grounding Language in Descriptions of Scenes 2006
Paul Williams and Risto Miikkulainen
High-dimensional graph selection using $ell_1$-regularized logistic regression 2006
M. J. Wainwright and P. Ravikumar and J. Lafferty
Human-Usable and Emergency Vehicle-Aware Control Policies for Autonomous Intersection Management 2006
Kurt Dresner and Peter Stone
Incorporating Advice into Neuroevolution of Adaptive Agents 2006
Chern Han Yong, Kenneth O. Stanley, Risto Miikkulainen, and Igor V. Karpov
Integrating Co-occurrence Statistics with Information Extraction for Robust Retrieval of Protein Interactions from Medline 2006
Razvan Bunescu, Raymond Mooney, Arun Ramani and Edward Marcotte
Integration and Evaluation of Exploration-Based Learning in Games 2006
Igor V. Karpov, Thomas D'Silva, Craig Varrichio, Kenneth O. Stanley, Risto Miikkulainen
Joint Maps for Orientation, Eye, and Direction Preference in a Self-Organizing Model of V1 2006
James A. Bednar and Risto Miikkulainen
Keepaway Soccer: From Machine Learning Testbed to Benchmark 2006
Peter Stone and Gregory Kuhlmann and Matthew E. Taylor and Yaxin Liu
Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots 2006
Mazda Ahmadi and Peter Stone
Know Thine Enemy: A Champion RoboCup Coach Agent 2006
Gregory Kuhlmann and William B. Knox and Peter Stone
Learnable Similarity Functions and Their Application to Record Linkage and Clustering 2006
Mikhail Bilenko
Learning for Semantic Parsing with Statistical Machine Translation 2006
Yuk Wah Wong and Raymond J. Mooney
Learning Language from Perceptual Context: A Challenge Problem for AI 2006
Raymond J. Mooney
Learning Semantic Parsers Using Statistical Syntactic Parsing Techniques 2006
Ruifang Ge
Low-Discrepancy Curves and Efficient Coverage of Space 2006
Subramanian Ramamoorthy, Ram Rajagopal, Qing Ruan, Lothar Wenzel
Model Generation for Generalized Quantifiers via Answer Set Programming 2006
Yuliya Lierler and Guenther Goerz
Multiagent Traffic Management: Opportunities for Multiagent Learning 2006
Kurt Dresner and Peter Stone
On-Line Evolutionary Computation for Reinforcement Learning in Stochastic Domains 2006
Shimon Whiteson and Peter Stone
Parametrization and computations in shape spaces with area and boundary invariants 2006
Subramanian Ramamoorthy, Benjamin J. Kuipers and Lothar Wenzel
Preconditioner approximations for probabilistic graphical models 2006
P. Ravikumar and J. Lafferty
Predictive Planning for Supply Chain Management 2006
David Pardoe and Peter Stone
Prenatal Development of Ocular Dominance and Orientation Maps in a Self-Organizing Model of V1 2006
Stefanie Jegelka, James A. Bednar, and Risto Miikkulainen
PRISM: Precision-aware Aggregation for Scalable Monitoring 2006
Navendu Jain, Dmitry Kit, Prince Mahajan, Praveen Yalagandula, Mike Dahlin, and Yin Zhang
Probabilistic Semi-Supervised Clustering with Constraints 2006
Sugato Basu, Mikhail Bilenko, Arindam Banerjee and Raymond J. Mooney
Quadratic programming relaxations for metric labeling and Markov random field MAP estimation 2006
P. Ravikumar and J. Lafferty
Qualitative hybrid control of dynamic bipedal walking 2006
Subramanian Ramamoorthy, Benjamin Kuipers
Real-Time Evolution of Neural Networks in the NERO Video Game 2006
Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, Risto Miikkulainen
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning 2006
Shimon Whiteson and Peter Stone
Selecting for Evolvable Representations 2006
Joseph Reisinger and Risto Miikkulainen
Self-Organization of Hierarchical Visual Maps with Feedback Connections 2006
Yiu Fai Sit and Risto Miikkulainen
Subsequence Kernels for Relation Extraction 2006
Razvan Bunescu and Raymond J. Mooney
TacTex-2005: A Champion Supply Chain Management Agent 2006
David Pardoe and Peter Stone
Temporal Phylogenetic Networks and Logic Programming 2006
Esra Erdem, Vladimir Lifschitz and Don Ringe
The Effect of Delivery Method on Conceptual and Strategy Development 2006
Lisa C. Kaczmarczyk, Mary Z. Last, Risto Miikkulainen
The UT Austin Villa 2006 RoboCup Four-Legged Team 2006
Peter Stone and Peggy Fidelman and Nate Kohl and Gregory Kuhlmann and Tekin Mericli and Mohan Sridharan and Shao-en Yu
Towards Autonomous Sensor and Actuator Model Induction on a Mobile Robot 2006
Daniel Stronger and Peter Stone
Transfer Learning with Markov Logic Networks 2006
Lilyana Mihalkova and Raymond Mooney
Unsupervised Learning of Categories from Sets of Partially Matching Image Features 2006
K. Grauman and T. Darrell
Using Active Relocation to Aid Reinforcement Learning 2006
Lilyana Mihalkova and Raymond Mooney
Using Encyclopedic Knowledge for Named Entity Disambiguation 2006
Razvan Bunescu and Marius Pasca
Using String-Kernels for Learning Semantic Parsers 2006
Rohit J. Kate and Raymond J. Mooney
Value Function Transfer for General Game Playing 2006
Bikramjit Banerjee and Gregory Kuhlmann and Peter Stone
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping 2006
Yaxin Liu and Peter Stone
Why Are There So Many Loop Formulas? 2006
Vladimir Lifschitz and Alexander Razborov
A Kernel-based Approach to Learning Semantic Parsers 2005
Rohit J. Kate
A Model-Based Approach to Robot Joint Control 2005
Daniel Stronger and Peter Stone
A Model-Theoretic Counterpart of Loop Formulas 2005
Joohyung Lee
A Picture is Worth a Thousand Keywords: Image-Based Object Search on a Mobile Platform 2005
T. Yeh, K. Grauman, K. Tollmar, and T. Darrell
A Polynomial-time Nash Equilibrium Algorithm for Repeated Games 2005
Michael L. Littman and Peter Stone
A Shortest Path Dependency Kernel for Relation Extraction 2005
R. C. Bunescu, and Raymond J. Mooney
A Statistical Semantic Parser that Integrates Syntax and Semantics 2005
Ruifang Ge and Raymond J. Mooney
A Subsymbolic Model of Complex Story Understanding 2005
Peggy Fidelman, Risto Miikkulainen and Ralph Hoffman
Academic AI and Video Games: A Case Study of Incorporating Innovative Academic Research into a Video Game Prototype 2005
Aliza Gold
Active Learning for Probability Estimation using Jensen-Shannon Divergence 2005
P. Melville, S. M. Yang, M. Saar-Tsechansky and Raymond J. Mooney
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping 2005
Mikhail Bilenko, Sugato Basu, and Mehran Sahami
Alignments and String Similarity in Information Integration: A Random Field Approach 2005
Mikhail Bilenko and Raymond J. Mooney
An Expected Utility Approach to Active Feature-value Acquisition 2005
P. Melville, M. Saar-Tsechansky, F. Provost and Raymond J. Mooney
Answer Sets for Propositional Theories 2005
Paolo Ferraris
Automated Reasoning about Actions 2005
Joohyung Lee
Automatic Feature Selection via Neuroevolution 2005
Shimon Whiteson and Peter Stone and Kenneth O. Stanley and Risto Miikkulainen and Nate Kohl
Autonomous Color Learning on a Mobile Robot 2005
Mohan Sridharan and Peter Stone
Avoiding the ``Streetlight Effect'': Tracking by Exploring Likelihood Modes 2005
D. Demirdjian, L. Taycher, G. Shakhnarovich, K. Grauman, and T. Darrell
Bayesian Models of Nonstationary Markov Decision Problems 2005
Nicholas K. Jong and Peter Stone
Behavior Transfer for Value-Function-Based Reinforcement Learning 2005
Matthew E. Taylor and Peter Stone
Bidding for Customer Orders in TAC SCM 2005
David Pardoe and Peter Stone
Bootstrap Learning of Foundational Representations. 2005
Benjamin Kuipers, Patrick Beeson, Joseph Modayil and Jefferson Provost
Broad-Coverage Parsing with Neural Networks 2005
Marshall R. Mayberry III and Risto Miikkulainen
Cmodels -- SAT-based Disjunctive Answer Set Solver 2005
Yuliya Lierler
Cmodels for Tight Disjunctive Logic programs 2005
Yuliya Lierler
Coevolution of Neural Networks Using a Layered Pareto Archive 2005
German A. Monroy
Combining Bias and Variance Reduction Techniques for Regression 2005
Yuk Lai Suen, Prem Melville and Raymond J. Mooney
Combining Bias and Variance Reduction Techniques for Regression 2005
Y. L. Suen, P. Melville and Raymond J. Mooney
Comments: The Sensitivity of Economic Statistics to Coding Errors in Personal Identifiers 2005
W. W. Cohen and S. Fienberg and P. Ravikumar
Comparative Experiments on Learning Information Extractors for Proteins and their Interactions 2005
Razvan Bunescu, Ruifang Ge, Rohit J. Kate, Edward M. Marcotte, Raymond J. Mooney, Arun Kumar Ramani, and Yuk Wah Wong
Consciousness: Drinking from the Firehose of Experience 2005
Benjamin Kuipers
Consolidating the Set of Known Human Protein-Protein Interactions in Preparation for Large-Scale Mapping of the Human Interactome 2005
A.K. Ramani, R.C. Bunescu, Raymond J. Mooney and E.M. Marcotte
Constructing Good Learners Using Evolved Pattern Generators 2005
Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen
Constructing Visual Function Through Prenatal and Postnatal Learning 2005
James A. Bednar and Risto Miikkulainen
Continuous Area Sweeping: A Task Definition and Initial Approach 2005
Mazda Ahmadi and Peter Stone
Creating Diverse Ensemble Classifiers to Reduce Supervision 2005
Prem Melville
Developing Adaptive Auction Mechanisms 2005
David Pardoe and Peter Stone
Disjunctive Answer Set Programming via Satisfiability 2005
Yuliya Lierler
Economical Active Feature-value Acquisition through Expected Utility Estimation 2005
P. Melville, M. Saar-Tsechansky, F. Provost and Raymond J. Mooney
Effective Image Compression Using Evolved Wavelets 2005
Uli Grasemann and Risto Miikkulainen
Efficient Image Matching with Distributions of Local Invariant Features 2005
K. Grauman and T. Darrell
Evolving Keepaway Soccer Players through Task Decomposition 2005
Shimon Whiteson and Nate Kohl and Risto Miikkulainen and Peter Stone
Evolving Neural Network Agents in the NERO Video Game 2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen
Evolving Neural Network Ensembles for Control Problems 2005
David Pardoe, Michael Ryoo, and Risto Miikkulainen
Explaining Recommendations: Satisfaction vs. Promotion 2005
Mustafa Bilgic and Raymond J. Mooney
Function Approximation via Tile Coding: Automating Parameter Choice 2005
Alexander A. Sherstov and Peter Stone
Improving Action Selection in MDP's via Knowledge Transfer 2005
Alexander A. Sherstov and Peter Stone
Improving Prescripted Agent Behavior with Neuroevolution 2005
Ryan Cornelius, Risto Miikkulainen
Incorporating Advice into Evolution of Neural Networks 2005
Chern Han Yong, Kenneth O. Stanley, and Risto Miikkulainen
Indirect Anaphora Resolution as Semantic Path Search 2005
James Fan, Ken Barker, Bruce Porter
Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution 2005
Yiu Fai Sit and Risto Miikkulainen
Learning for Collective Information Extraction 2005
Razvan C. Bunescu
Learning for Semantic Parsing Using Statistical Machine Translation Techniques 2005
Yuk Wah Wong
Learning to Transform Natural to Formal Languages 2005
Rohit J. Kate, Yuk Wah Wong and Raymond J. Mooney
Matching Utterances to Rich Knowledge Structures to Acquire a Model of the Speaker's Goal 2005
Peter Yeh, Bruce Porter, Ken Barker
Mathematical Foundations of Answer Set Programming 2005
Paolo Ferraris and Vladimir Lifschitz
Mining Knowledge from Text Using Information Extraction 2005
Raymond J. Mooney and R. Bunescu
Model-based Overlapping Clustering 2005
A. Banerjee, C. Krumpelman, S. Basu, Raymond J. Mooney and Joydeep Ghosh
Multiagent Traffic Management: An Improved Intersection Control Mechanism 2005
Kurt Dresner and Peter Stone
Neuroevolution of an Automobile Crash Warning System 2005
Kenneth Stanley, Nate Kohl, Rini Sherony, and Risto Miikkulainen
On Modular Translations and Strong Equivalence 2005
Paolo Ferraris
Practical Vision-Based Monte Carlo Localization on a Legged Robot 2005
Mohan Sridharan and Gregory Kuhlmann and Peter Stone
Real-Time Learning in the NERO Video Game 2005
Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen, Thomas D'Silva, and Aliza Gold
Real-time Neuroevolution in the NERO Video Game 2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen
Real-Time Vision on a Mobile Robot Platform 2005
Mohan Sridharan and Peter Stone
Reinforcement Learning for RoboCup-Soccer Keepaway 2005
Peter Stone and Richard S. Sutton and Gregory Kuhlmann
Retaining Learned Behavior During Real-Time Neuroevolution 2005
Thomas D'Silva, Roy Janik, Michael Chrien, Kenneth O. Stanley and Risto Miikkulainen
Self-organization of color opponent receptive fields and laterally connected orientation maps 2005
James A. Bednar, Judah B. De Paula, and Risto Miikkulainen
Semi-supervised Clustering: Probabilistic Models, Algorithms and Experiments 2005
Sugato Basu
Semi-supervised Graph Clustering: A Kernel Approach 2005
B. Kulis, S. Basu, I. Dhillon and Raymond J. Mooney
State Abstraction Discovery from Irrelevant State Variables 2005
Nicholas K. Jong and Peter Stone
The Acquisition of Intellectual Expertise: A Computational and Empirical Theory 2005
Elizabeth C. Kaczmarczyk
The First International Trading Agent Competition: Autonomous Bidding Agents 2005
Peter Stone and Amy Greenwald
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features 2005
K. Grauman and T. Darrell
The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach 2005
Gregory Kuhlmann and Peter Stone and Justin Lallinger
The UT Austin Villa 2005 RoboCup Four-Legged Team 2005
Peter Stone and Kurt Dresner and Peggy Fidelman and Nate Kohl and Gregory Kuhlmann and Mohan Sridharan and Daniel Stronger
Three Automated Stock-Trading Agents: A Comparative Study 2005
Alexander Sherstov and Peter Stone
Towards an Empirical Measure of Evolvability 2005
Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen
Towards autonomous topological place detection using the Extended Voronoi Graph 2005
Patrick Beeson, Nicholas K. Jong, and Benjamin Kuipers
Towards Illumination Invariance in the Legged League 2005
Mohan Sridharan and Peter Stone
Towards Self-Configuring Hardware for Distributed Computer Systems 2005
Jonathan Wildstrom, Peter Stone, E. Witchel, Raymond Mooney and M. Dahlin
Using Biomedical Literature Mining to Consolidate the Set of Known Human Protein-Protein Interactions 2005
A. Ramani, E. Marcotte, R. Bunescu and Raymond J. Mooney
Value Functions for RL-Based Behavior Transfer: A Comparative Study 2005
Matthew E. Taylor and Peter Stone and Yaxin Liu
Weight Constraints as Nested Expressions 2005
Paolo Ferraris and Vladimir Lifschitz
Self-Organizing Perceptual and Temporal Abstraction for Robot Reinforcement Learning 2004
Jefferson Provost, Benjamin J. Kuipers and Risto Miikkulainen
A Comparison of Inference Techniques for Semi-supervised Clustering with Hidden Markov Random Fields 2004
Mikhail Bilenko and Sugato Basu
A Hierarchical Graphical Model for Record Linkage 2004
P. Ravikumar and W. W. Cohen
A Neurocontrol Paradigm for Intelligent Process Control using Evolutionary Reinforcement Learning 2004
Alex van Eck Conradie
A Probabilistic Framework for Semi-Supervised Clustering 2004
Sugato Basu, Mikhail Bilenko, and Raymond J. Mooney
A Question-Answering System for AP Chemistry: Assessing KR&R Technologies 2004
Ken Barker, Vinay K. Chaudhri, Shaw Yi Chaw, Peter E. Clark, James Fan, David Israel, Sunil Mishra, Bruce Porter, Pedro Romero, Dan Tecuci, Peter Yeh
A Secure Protocol for Computing String Distance Metrics 2004
P. Ravikumar and W. W. Cohen and S. E. Fienberg
Active Feature-Value Acquisition for Classifier Induction 2004
Prem Melville, Maytal Saar-Tsechansky, Foster Provost, and Raymond J. Mooney
Active Feature-Value Acquisition for Classifier Induction 2004
Prem Melville, Maytal Saar-Tsechansky, Foster Provost, and Raymond J. Mooney
Active Semi-Supervision for Pairwise Constrained Clustering 2004
Sugato Basu, Arindam Banerjee, and Raymond J. Mooney
Adaptive Job Routing and Scheduling 2004
Shimon Whiteson and Peter Stone
Almost Definite Causal Theories 2004
Semra Dogandag, Paolo Ferraris, Vladimir Lifschitz
Automatic Compilation of Protocol Insecurity Problems into Logic Programming 2004
Alesandro Armando, Luca Compagna, and Yuliya Lierler
Bootstrap learning for object discovery 2004
Joseph Modayil and Benjamin Kuipers
Cmodels-2: SAT-based Answer Set Solver Enhanced to Non-tight Programs 2004
Yuliya Lierler and Marco Maratea
Collective Information Extraction with Relational Markov Networks 2004
Razvan Bunescu and Raymond J. Mooney
Competitive Coevolution through Evolutionary Complexification 2004
Kenneth O. Stanley and Risto Miikkulainen
Contour grouping: closure effects are explained by good continuation and proximity 2004
Tal Tversky, Wilson S. Geisler and Jeffrey S. Perry
Contour Integration and Segmentation with Self-Organized Lateral Connections 2004
Yoonsuck Choe and Risto Miikkulainen
Controller synthesis using qualitative models and constraints 2004
Subramanian Ramamoorthy, Benjamin Kuipers
Creating Diversity in Ensembles Using Artificial Data 2004
Prem Melville and Raymond J. Mooney
Definitions in Answer Set Programming 2004
Selim T. Erdoğan and Vladimir Lifschitz
Diverse Ensembles for Active Learning 2004
Prem Melville and Raymond J. Mooney
Efficient Allele Fitness Assignment with Self-organizing Multi-agent System 2004
Adrian Agogino and Risto Miikkulainen
Efficient Evolution of Neural Networks Through Complexification 2004
Kenneth O. Stanley
Evolving a Roving Eye for Go 2004
Kenneth O. Stanley and Risto Miikkulainen
Evolving Reusable Neural Modules 2004
Joseph Reisinger, Kenneth O. Stanley, and Risto Miikkulainen
Evolving Wavelets using a Coevolutionary Genetic Algorithm and Lifting 2004
Uli Grasemann and Risto Miikkulainen
Experiments on Ensembles with Missing and Noisy Data 2004
Prem Melville, Nishit Shah, Lilyana Mihalkova, and Raymond J. Mooney
Explanation for Recommender Systems: Satisfaction vs. Promotion 2004
Mustafa Bilgic
Exploiting Morphological Conventions for Genetic Reuse 2004
Kenneth O. Stanley, Joseph Reisinger, and Risto Miikkulainen
Fast Contour Matching Using Approximate Earth Mover's Distance 2004
K. Grauman and T. Darrell
Goal-Converging Behavior Networks and Self-Solving Planning Domains 2004
Bernhard Nebel and Yuliya Lierler
Guiding a Reinforcement Learner with Natural Language Advice: Initial Results in RoboCup Soccer 2004
Gregory Kuhlmann, Peter Stone, Raymond J. Mooney, and Jude W. Shavlik
Integrating Constraints and Metric Learning in Semi-Supervised Clustering 2004
Mikhail Bilenko, Sugato Basu, and Raymond J. Mooney
Interpreting Loosely Encoded Questions 2004
James Fan, Bruce Porter
Irrelevant Actions in Plan Generation (extended abstract) 2004
Vladimir Lifschitz and Wanwan Ren
Learnable Similarity Functions and Their Applications to Clustering and Record Linkage 2004
Mikhail Bilenko
Learning Ball Acquisition on a Physical Robot 2004
Peggy Fidelman and Peter Stone
Learning Semantic Parsers: An Important But Under-Studied Problem 2004
Raymond J. Mooney
Learning Transformation Rules for Semantic Parsing 2004
Rohit J. Kate, Yuk Wah Wong, Ruifang Ge, and Raymond J. Mooney
Local metrical and global topological maps in the Hybrid Spatial Semantic Hierarchy 2004
Benjamin Kuipers, Joseph Modayil, Patrick Beeson, Matt MacMahon, and Francesco Savelli
Loop Formulas for Circumscription 2004
Joohyung Lee and Fangzhen Lin
Loop-closing and planarity in topological map-building 2004
Francesco Savelli and Benjamin Kuipers
Machine Learning for Fast Quadrupedal Locomotion 2004
Nate Kohl and Peter Stone
Mining Transformation Rules for Semantic Matching 2004
Peter Yeh, Bruce Porter, Ken Barker
Modeling Cortical Maps with Topographica 2004
James A. Bednar, Yoonsuck Choe, Judah De Paula, Risto Miikkulainen, Jefferson Provost, and Tal Tversky
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism 2004
Kurt Dresner and Peter Stone
Nondefinite vs. Definite Causal Theories 2004
Joohyung Lee
Nonmonotonic Causal Theories 2004
Enrico Giunchiglia, Joohyung Lee, Vladimir Lifschitz, Norman McCain and Hudson Turner
Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion 2004
Nate Kohl and Peter Stone
Prenatal and Postnatal Development of Laterally Connected Orientation Maps 2004
James A. Bednar and Risto Miikkulainen
Project Halo: Towards a Digital Aristotle 2004
Noah S. Friedland, Paul G. Allen, Gavin Matthews, Michael Witbrock, David Baxter, Jon Curtis, Blake Shepard, Pierluigi Miraglia, Jürgen Angele, Steffen Staab, Eddie Moench, Henrik Oppermann, Dirk Wenke, David Israel, Vinay Chaudhri, Bruce Porter, Ken Barker, James Fan, Shaw Yi Chaw, Peter Yeh, Dan Tecuci, Peter Clark
Relational Data Mining with Inductive Logic Programming for Link Discovery 2004
Raymond J. Mooney, P. Melville, L. R. Tang, J. Shavlik, I. Dutra and D. Page
Relational Markov Networks for Collective Information Extraction 2004
Razvan Bunescu and Raymond J. Mooney
Representing the Zoo World and the Traffic World in the language of the Causal Calculator 2004
Varol Akman, Selim T. Erdoğan, Joohyung Lee, Vladimir Lifschitz and Hudson Turner
RoboCup as an Introduction to CS Research 2004
Peter Stone
SAT-Based Answer Set Programming 2004
Enrico Giunchiglia, Yuliya Lierler, Marco Maratea
Semi-supervised Clustering with Limited Background Knowledge 2004
Sugato Basu
Semi-supervised Clustering: Learning with Limited User Feedback 2004
Sugato Basu
Semisupervised Clustering for Intelligent User Management 2004
Sugato Basu, Mikhail Bilenko, and Raymond J. Mooney
TacTex-03: A Supply Chain Management Agent 2004
David Pardoe and Peter Stone
Text Mining with Information Extraction 2004
Un Yong Nahm
The Acquisition of Intellectual Expertise: A Computational Model 2004
Elizabeth C. Kaczmarczyk, Risto Miikkulainen
The Champion UT Austin Villa 2003 Simulator Online Coach Team 2004
Gregory Kuhlmann and Peter Stone and Justin Lallinger
The Constructivist Learning Architecture: A Model of Cognitive Development for Robust Autonomous Robots 2004
Harold H. Chaput
The UT Austin Villa 2003 Four-Legged Team 2004
Peter Stone and Kurt Dresner and Selim T. Erdougan and Peggy Fidelman and Nicholas K. Jong and Nate Kohl and Gregory Kuhlmann and Ellie Lin and Mohan Sridharan and Daniel Stronger and Gurushyam Hariharan
The UT Austin Villa 2004 RoboCup Four-Legged Team: Coming of Age 2004
Peter Stone and Kurt Dresner and Peggy Fidelman and Nicholas K. Jong and Nate Kohl and Gregory Kuhlmann and Mohan Sridharan and Daniel Stronger
Towards a Quantitative, Platform-Independent Analysis of Knowledge Systems 2004
Noah S. Friedland, Paul G. Allen, Michael Witbrock, Gavin Matthews, Nancy Salay, Pierluigi Miraglia, Jurgen Angele, Steffen Staab, David Israel, Vinay Chaudhri, Bruce Porter, Ken Barker, Peter Clark
Towards Employing PSRs in a Continuous Domain 2004
Nicholas K. Jong and Peter Stone
Towards Learning to Ignore Irrelevant State Variables 2004
Nicholas K. Jong and Peter Stone
Transfer of Neuroevolved Controllers in Unstable Domains 2004
Faustino J. Gomez and Risto Miikkulainen
Two Stock-Trading Agents: Market Making and Technical Analysis 2004
Yi Feng and Ronggang Yu and Peter Stone
Using RoboCup in university-level computer science education 2004
Elizabeth Sklar and Simon Parsons and Peter Stone
Using Soft-Matching Mined Rules to Improve Information Extraction 2004
Un Yong Nahm and Raymond J. Mooney
Using the topological skeleton for scalable global metrical map-building 2004
Joseph Modayil, Patrick Beeson and Benjamin Kuipers
Variational Chernoff bounds for graphical models 2004
P. Ravikumar and J. Lafferty
Virtual Visual Hulls: Example-Based 3D Shape Inference from a Single Silhouette 2004
K. Grauman, G. Shakhnarovich, and T. Darrell
A Bayesian Approach to Image-Based Visual Hull Reconstruction 2003
K. Grauman, G. Shakhnarovich, and T. Darrell
A Comparison of String Distance Metrics for Name-Matching Tasks 2003
W. W. Cohen and P. Ravikumar and S. Fienberg
A Comparison of String Metrics for Matching Names and Records 2003
W. W. Cohen and P. Ravikumar and S. Fienberg
A Taxonomy for Artificial Embryogeny 2003
Kenneth O. Stanley and Risto Miikkulainen
Achieving High-Level Functionality through Evolutionary Complexification 2003
Kenneth O. Stanley and Risto Miikkulainen
Acquiring Word-Meaning Mappings for Natural Language Interfaces 2003
Cynthia A. Thompson and Raymond J. Mooney
Active Guidance for a Finless Rocket Using Neuroevolution 2003
Faustino J. Gomez and Risto Miikkulainen
Adaptive Duplicate Detection Using Learnable String Similarity Measures 2003
Mikhail Bilenko and Raymond J. Mooney
Adaptive Name-Matching in Information Integration 2003
Mikhail Bilenko, William W. Cohen, Stephen Fienberg, Raymond J. Mooney, and Pradeep Ravikumar
Associative Anaphora Resolution: A Web-Based Approach 2003
Razvan Bunescu
Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction 2003
Mary Elaine Califf and Raymond J. Mooney
Comparing and Unifying Search-Based and Similarity-Based Approaches to Semi-Supervised Clustering 2003
Sugato Basu, Mikhail Bilenko, and Raymond J. Mooney
Computing Answer Sets of a Logic Program via Enumeration of SAT Certificates 2003
Yuliya Lierler and Marco Maratea
Concurrent Layered Learning 2003
Shimon Whiteson and Peter Stone
Constructing Diverse Classifier Ensembles Using Artificial Training Examples 2003
Prem Melville and Raymond J. Mooney
Constructivist Learning: A Neural Implementation of the Schema Mechanism 2003
Harold H. Chaput, Benjamin Kuipers and Risto Miikkulainen
Creating Diverse Ensemble Classifiers 2003
Prem Melville
Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions 2003
Peter Stone and Robert E. Schapire and Michael L. Littman and J'anos A. Csirik and David McAllester
Describing Additive Fluents in Action Language C 2003
Joohyung Lee and Vladimir Lifschitz
Employing Trainable String Similarity Metrics for Information Integration 2003
Mikhail Bilenko and Raymond J. Mooney
Evolving Adaptive Neural Networks with and Without Adaptive Synapses 2003
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen
Exploiting local perceptual models for topological map-building 2003
Patrick Beeson, Matt MacMahon, Joseph Modayil, Jefferson Provost, Francesco Savelli and Benjamin Kuipers
Guest Editors' Introduction: Agents and Markets 2003
Amy Greenwald and Nicholas R. Jennings and Peter Stone
Incremental Nonmonotonic Parsing through Semantic Self-Organization 2003
Marshall R. Mayberry III
Incremental Nonmonotonic Parsing through SemanticSelf-Organization 2003
Marshall R. Mayberry III and Risto Miikkulainen
Inferring 3D Structure with a Statistical Image-Based Shape Model 2003
K. Grauman, G. Shakhnarovich, and T. Darrell
Integrating Top-down and Bottom-up Approaches in Inductive Logic Programming: Applications in Natural Language Processing and Relational Data Mining 2003
Lappoon R. Tang
Learnable Similarity Functions and Their Applications to Record Linkage and Clustering 2003
Mikhail Bilenko
Learning Concept Drift with a Committee of Decision Trees 2003
Kenneth O. Stanley
Learning Innate Face Preferences 2003
James A. Bednar and Risto Miikkulainen
Learning Predictive State Representations 2003
Satinder Singh and Michael L. Littman and Nicholas K. Jong and David Pardoe and Peter Stone
Learning to Extract Proteins and their Interactions from Medline Abstracts 2003
Razvan Bunescu, Ruifang Ge, Rohit J. Kate, Raymond J. Mooney, Yuk Wah Wong, Edward M. Marcotte, and Arun Kumar Ramani
Loop Formulas for Disjunctive Logic Programs 2003
Joohyung Lee and Vladimir Lifschitz
Machine Learning 2003
Raymond J. Mooney
Multiagent Competitions and Research: Lessons from RoboCup and TAC 2003
Peter Stone
Neuroevolution for Adaptive Teams 2003
Bobby D. Bryant and Risto Miikkulainen
On Evaluation and Training-Set Construction for Duplicate Detection 2003
Mikhail Bilenko and Raymond J. Mooney
Performance Analysis of a Counter-intuitive Automated Stock-Trading Strategy 2003
Ronggang Yu and Peter Stone
PhD Thesis: Robust Non-Linear Control through Neuroevolution 2003
Faustino J. Gomez
Qualitative heterogeneous control of higher order systems 2003
Subramanian Ramamoorthy and Benjamin Kuipers
Reconstructing the Evolutionary History of Indo-European Languages Using Answer Set Programming 2003
Esra Erdem, Vladimir Lifschitz, Luay Nakhleh and Donald Ringe
Reinforcing a Claim in Commonsense Reasoning 2003
Jonathan Campbell and Vladimir Lifschitz
Robust Non-Linear Control through Neuroevolution 2003
Faustino J. Gomez
Scaling Up ILP to Large Examples: Results on Link Discovery for Counter-Terrorism 2003
Lappoon R. Tang, Raymond J. Mooney, and Prem Melville
Self-Organization of Spatiotemporal Receptive Fields and Laterally Connected Direction and Orientation Maps 2003
James A. Bednar and Risto Miikkulainen
Text Mining with Information Extraction 2003
Raymond J. Mooney and Un Yong Nahm
The 2001 Trading Agent Competition 2003
Michael P. Wellman and Amy Greenwald and Peter Stone and Peter R. Wurman
The Knowledge Required to Interpret Noun Compounds 2003
James Fan, Ken Barker, Bruce Porter
The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research 2003
Itsuki Noda and Peter Stone
The Role of Internally Generated Neural Activity in Newborn and Infant Face Preferences 2003
James A. Bednar
The skeleton in the cognitive map: a computational and empirical exploration 2003
Benjamin Kuipers, Dan Tecuci and Brian Stankiewicz
Tight Logic Programs 2003
Esra Erdem and Vladimir Lifschitz
Using Transformations to Improve Semantic Matching 2003
Peter Yeh, Bruce Porter, Ken Barker
Utilizing Domain Knowledge in Neuroevolution 2003
James Fan, Raymond Lau, and Risto Miikkulainen
Adaptive Control Utilising Neural Swarming 2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich
Answer Set Programming and Plan Generation 2002
Vladimir Lifschitz
ATTUnited-2001: Using Heterogeneous Players 2002
Peter Stone
Bootstrap learning for place recognition 2002
Benjamin Kuipers and Patrick Beeson
Content-Boosted Collaborative Filtering for Improved Recommendations 2002
Prem Melville, Raymond J. Mooney, and Ramadass Nagarajan
Continual Coevolution Through Complexification 2002
Kenneth O. Stanley and Risto Miikkulainen
Cultural Enhancement Of Neuroevolution 2002
Paul H. McQuesten
Efficient Evolution Of Neural Network Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen
Efficient Reinforcement Learning Through Evolving Neural Network Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen
Eugenic Evolution Utilizing A Domain Model 2002
Matthew Alden, Aard-Jan van Kesteren, and Risto Miikkulainen
Evolving Neural Networks Through Augmenting Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen
Extracting Gene and Protein Names from Biomedical Abstracts 2002
Razvan Bunescu, Ruifang Ge, Raymond J. Mooney, Edward Marcotte, and Arun Kumar Ramani
Intelligent Process Control Utilizing Symbiotic Memetic Neuro-Evolution 2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich
Learning to Combine Trained Distance Metrics for Duplicate Detection in Databases 2002
Mikhail Bilenko and Raymond J. Mooney
Learning to See: Genetic and Environmental Influences on Visual Development 2002
James A. Bednar
Mining Soft-Matching Association Rules 2002
Un Yong Nahm and Raymond J. Mooney
Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation 2002
Robert E. Schapire and Peter Stone and David McAllester and Michael L. Littman and J'anos A. Csirik
Modeling Directional Selectivity Using Self-Organizing Delay-Adaptation Maps 2002
Tal Tversky and Risto Miikkulainen
Modeling Large Cortical Networks With Growing Self-Organizing Maps 2002
James A. Bednar, Amol Kelkar, and Risto Miikkulainen
Neonatal Learning Of Faces: Environmental And Genetic Influences 2002
James A. Bednar and Risto Miikkulainen
Numerical Optimization With Neuroevolution 2002
Brian Greer, Henri Hakonen, Risto Lahdelma, and Risto Miikkulainen
On Calculational Proofs 2002
Vladimir Lifschitz
Property-Based Feature Engineering and Selection 2002
Noppadon Kamolvilassatian
Qualitative modeling and heterogeneous control of global system behavior 2002
Benjamin Kuipers and Subramanian Ramamoorthy
Relational Data Mining with Inductive Logic Programming for Link Discovery 2002
Raymond J. Mooney, Prem Melville, Lappoon R. Tang, Jude Shavlik, Inês de Castro Dutra, David Page, and Vítor Santos Costa
Self-enforcing Strategic Demand Reduction 2002
Paul S. A. Reitsma and Peter Stone and J'anos A. Csirik and Michael L. Littman
Semi-supervised Clustering by Seeding 2002
Sugato Basu, Arindam Banerjee, and Raymond J. Mooney
Text and Discourse Understanding: The DISCERN System 2002
Risto Miikkulainen
Text Mining with Information Extraction 2002
Un Yong Nahm and Raymond J. Mooney
The Dominance Tournament Method of Monitoring Progress in Coevolution 2002
Kenneth O. Stanley and Risto Miikkulainen
Theory and Applications of Answer Set Programming 2002
Esra Erdem
Towards a general theory of topological maps 2002
Emilio Remolina and Benjamin Kuipers
Two Approaches to Handling Noisy Variation in Text Mining 2002
Un Yong Nahm, Mikhail Bilenko, and Raymond J. Mooney
A Library of Generic Concepts for Composing Knowledge Bases 2001
Ken Barker and Bruce Porter and Peter Clark
A logical account of causal and topological maps 2001
Emilio Remolina
A Model Of Infant Causal Perception And Its Development 2001
Harold H. Chaput and Leslie B. Cohen
A Neuroevolution Method For Dynamic Resource Allocation On A Chip Multiprocessor 2001
Faustino J. Gomez, Doug Burger, and Risto Miikkulainen
A Social Reinforcement Learning Agent 2001
Charles Lee Isbell and Christian R. Shelton and Michael Kearns and Satinder Singh and Peter Stone
Abrupt And Gradual Sound Change In An Expanding Lexicon 2001
Melissa A. Redford and Risto Miikkulainen
Additive Fluents 2001
Joohyung Lee and Vladimir Lifschitz
An Architecture for Action Selection in Robotic Soccer 2001
Peter Stone and David McAllester
Applying ESP And Region Specialists To Neuro-Evolution For Go 2001
Andres Santiago Perez-Bergquist
ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League 2001
Patrick Riley and Peter Stone and David McAllester and Manuela Veloso
ATTac-2000: An Adaptive Autonomous Bidding Agent 2001
Peter Stone and Michael L. Littman and Satinder Singh and Michael Kearns
Autonomous Bidding Agents in the Trading Agent Competition 2001
Amy Greenwald and Peter Stone
Co-Evolving A Go-Playing Neural Network 2001
Alex Lubberts and Risto Miikkulainen
Cobot in LambdaMOO: A Social Statistics Agent 2001
Charles Lee Isbell Jr. and Michael Kearns and Dave Kormann and Satinder Singh and Peter Stone
Communication via Eye Blinks: Detection and Duration Analysis in Real Time 2001
K. Grauman, M. Betke, J. Gips, and G. Bradski
Computational Perceptual Attention 2001
Micheal Scott Hewett
Constrained Emergence Of Universals And Variation In Syllable Systems 2001
Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen
Content-Boosted Collaborative Filtering 2001
Prem Melville, Raymond J. Mooney, and Ramadass Nagarajan
Cooperative Coevolution Of Multi-Agent Systems 2001
Chern Han Yong and Risto Miikkulainen
Creating Melodies With Evolving Recurrent Neural Networks 2001
Chun-Chi J. Chen and Risto Miikkulainen
ELIXIR: A Library for Writing Wrappers in Java 2001
Edward Wild
Evaluating the Novelty of Text-Mined Rules using Lexical Knowledge 2001
Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, and Joydeep Ghosh
Evolving Populations Of Expert Neural Networks 2001
Joseph Bruce and Risto Miikkulainen
Fages' Theorem for Programs with Nested Expressions 2001
Esra Erdem and Vladimir Lifschitz
FAucS: An FCC Spectrum Auction Simulator for Autonomous Bidding Agents 2001
J'anos A. Csirik and Michael L. Littman and Satinder Singh and Peter Stone
From Word Stream To Gestalt: A Direct Semantic Parse For Complex Sentences 2001
Bobby D. Bryant and Risto Miikkulainen
Implicit Negotiation in Repeated Games 2001
Michael L. Littman and Peter Stone
Keeping the Ball from CMUnited-99 2001
David McAllester and Peter Stone
Layered Disclosure: Revealing Agents' Internals 2001
Patrick Riley and Peter Stone and Manuela Veloso
Learning from uninterpreted experience in the SSH 2001
Benjamin Kuipers, Patrick Beeson, Joseph Modayil and Jefferson Provost
Mining Soft-Matching Rules from Textual Data 2001
Un Yong Nahm and Raymond J. Mooney
Perceptual Grouping In A Self-Organizing Map Of Spiking Neurons 2001
Yoonsuck Choe
Post-Piagetian constructivism for grounded knowledge acquisition 2001
Harold H. Chaput
Representing Roles and Purpose 2001
James Fan, Ken Barker, Bruce Porter, Peter Clark
RoboCup-2000: The Fourth Robotic Soccer World Championships 2001
Peter Stone and Minoru Asada and Tucker Balch and Raffaelo D'Andrea and Masahiro Fujita and Bernhard Hengst and Gerhard Kraetzschmar and Pedro Lima and Nuno Lau and Henrik Lund and Daniel Polani and Paul Scerri and Satoshi Tadokoro and Thilo Weigel and Gordon Wyeth
Scaling Self-Organizing Maps To Model Large Cortical Networks 2001
James A. Bednar, Amol Kelkar, and Risto Miikkulainen
Semantic Effect On Episodic Associations 2001
Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin
Strongly Equivalent Logic Programs 2001
Vladimir Lifschitz, David Pearce and Agustin Valverde
Text Mining with Information Extraction 2001
Un Yong Nahm
The skeleton in the cognitive map: a computational hypothesis 2001
Benjamin Kuipers
Toward bootstrap learning for place recognition 2001
Benjamin Kuipers and Patrick Beeson
Toward Learning the Causal Layer of the Spatial Semantic Hierarchy using SOMs 2001
Jefferson Provost, Patrick Beeson, and Benjamin J. Kuipers
Using Lexical Knowlege to Evaluate the Novelty of Rules Mined from Text 2001
Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, and Joydeep Ghosh
Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing 2001
Lappoon R. Tang and Raymond J. Mooney
A Mutually Beneficial Integration of Data Mining and Information Extraction 2000
Un Yong Nahm and Raymond J. Mooney
A Self-Organizing Neural Network For Contour Integration Through Synchronized Firing 2000
Yoonsuck Choe and Risto Miikkulainen
Automated Construction of Database Interfaces: Integrating Statistical and Relational Learning for Semantic Parsing 2000
Lappoon R. Tang and Raymond J. Mooney
Book review: M. Shanahan, Solving the Frame Problem 2000
Vladimir Lifschitz
Content-Based Book Recommending Using Learning for Text Categorization 2000
Raymond J. Mooney and Loriene Roy
Defining and Using Ideal Teammate and Opponent Models 2000
Peter Stone and Patrick Riley and Manuela Veloso
Effects Of Presynaptic And Postsynaptic Resource Redistribution In Hebbian Weight Adaptation 2000
Yoonsuck Choe, Risto Miikkulainen, and Lawrence K. Cormack
Eugenic Neuro-Evolution For Reinforcement Learning 2000
Daniel Polani and Risto Miikkulainen
Fages' Theorem and Answer Set Programming 2000
Yuliya Lierler, Esra Erdem and Vladimir Lifschitz
Getting to the Airport: the Oldest Planning Problem in AI 2000
Vladimir Lifschitz, Norman McCain, Emilio Remolina and Armando Tacchella
Hebbian Learning And Temporary Storage In The Convergence-Zone Model Of Episodic Memory 2000
Michael Howe and Risto Miikkulainen
Integrating Abduction and Induction in Machine Learning 2000
Raymond J. Mooney
Integrating Statistical and Relational Learning for Semantic Parsing: Applications to Learning Natural Language Interfaces for Databases 2000
Lappoon R. Tang
Interactions of Abstractions in Programming 2000
Gordon S. Novak Jr.
Internally-Generated Activity, Non-Episodic Memory, and Emotional Salience in Sleep 2000
James A. Bednar
Layered Learning 2000
Peter Stone and Manuela Veloso
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer 2000
Peter Stone
Learning for Semantic Interpretation: Scaling Up Without Dumbing Down 2000
Raymond J. Mooney
Missionaries and Cannibals in the Causal Calculator 2000
Vladimir Lifschitz
Multiagent Systems: A survey from a machine learning perspective 2000
Peter Stone and Manuela Veloso
Neuro-Evolution And Natural Deduction 2000
Nirav S. Desai and Risto Miikkulainen
Online Interactive Neuro-Evolution 2000
Adrian Agogino, Kenneth O. Stanley, and Risto Miikkulainen
Overview of RoboCup-99 2000
Silvia Coradeschi and Lars Karlsson and Peter Stone and Tucker Balch and Gerhard Kraetzschmar and Minoru Asada
Self-Organization Of Innate Face Preferences: Could Genetics Be Expressed Through Learning? 2000
James A. Bednar and Risto Miikkulainen
The CMUnited-97 Robotic Soccer Team: Perception and Multi-agent Control 2000
Manuela Veloso and Peter Stone and Kwun Han
The CMUnited-99 Champion Simulator Team 2000
Peter Stone and Patrick Riley and Manuela Veloso
The Spatial Semantic Hierarchy 2000
Benjamin Kuipers
Tilt Aftereffects In A Self-Organizing Model Of The Primary Visual Cortex 2000
James A. Bednar and Risto Miikkulainen
TPOT-RL Applied to Network Routing 2000
Peter Stone
Using Information Extraction to Aid the Discovery of Prediction Rules from Text 2000
Un Yong Nahm and Raymond J. Mooney
Wire Routing and Satisfiability Planning 2000
Esra Erdem, Vladimir Lifschitz and Martin Wong
Action Languages, Answer Sets and Planning 1999
Vladimir Lifschitz
Action Languages, Temporal Action Logics and the Situation Calculus 1999
Enrico Giunchiglia and Vladimir Lifschitz
Active Learning for Natural Language Parsing and Information Extraction 1999
Cynthia A. Thompson, Mary Elaine Califf and Raymond J. Mooney
Answer Set Planning 1999
Vladimir Lifschitz
Anticipation as a Key for Collaboration in a Team of Agents: A Case Study in Robotic Soccer 1999
Manuela Veloso and Peter Stone and Michael Bowling
Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces 1999
Cynthia A. Thompson and Raymond J. Mooney
Confidence Based Dual Reinforcement Q-Routing: An Adaptive On-Line Routing Algorithm 1999
Shailesh Kumar and Risto Miikkulainen
Content-Based Book Recommending Using Learning for Text Categorization 1999
Raymond J. Mooney and Loriene Roy
Disambiguation And Grammar As Emergent Soft Constraints 1999
Risto Miikkulainen and Marshall R. Mayberry III
Modeling The Self-Organization Of Directional Selectivity In The Primary Visual Cortex 1999
Igor Farkas and Risto Miikkulainen
Nested Expressions in Logic Programs 1999
Vladimir Lifschitz, Lappoon R. Tang and Hudson Turner
Relational Learning of Pattern-Match Rules for Information Extraction 1999
Mary Elaine Califf and Raymond J. Mooney
Representing Transition Systems by Logic Programs 1999
Vladimir Lifschitz and Hudson Turner
SARDSRN: A Neural Network Shift-Reduce Parser 1999
Marshall R. Mayberry III and Risto Miikkulainen
Solving Non-Markovian Control Tasks With Neuroevolution 1999
Faustino J. Gomez and Risto Miikkulainen
Success of Default Logic 1999
Vladimir Lifschitz
Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork 1999
Peter Stone and Manuela Veloso
Team-Partitioned, Opaque-Transition Reinforcement Learning 1999
Peter Stone and Manuela Veloso
The CMUnited-98 Champion Simulator Team 1999
Peter Stone and Manuela Veloso and Patrick Riley
The CMUnited-98 Champion Small Robot Team 1999
Manuela Veloso and Michael Bowling and Sorin Achim and Kwun Han and Peter Stone
Transformations of Logic Programs Related to Causality and Planning 1999
Esra Erdem and Vladimir Lifschitz
Using a Sequential SOM to Parse Long-Term Dependencies 1999
Marshall R. Mayberry III and Risto Miikkulainen
Using HTML Structure and Linked Pages to Improve Learning for Text Categorization 1999
Michael B. Cline
2-D Pole Balancing With Recurrent Evolutionary Networks 1998
Faustino Gomez and Risto Miikkulainen
A Layered Approach to Learning Client Behaviors in the RoboCup Soccer Server 1998
Peter Stone and Manuela Veloso
A Self-Organizing Neural Network Model of the Primary Visual Cortex 1998
Risto Miikkulainen, James Bednar, Yoonsuck Choe, and Joseph Sirosh
Action Languages 1998
Michael Gelfond and Vladimir Lifschitz
Advantages of Decision Lists and Implicit Negatives in Inductive Logic Programming 1998
Mary Elaine Califf and Raymond J. Mooney
An Action Language Based on Causal Explanation: preliminary report 1998
Enrico Giunchiglia and Vladimir Lifschitz
An Experimental Comparison of Genetic Programming and Inductive Logic Programming on Learning Recursive List Functions 1998
Lappoon R. Tang, Mary Elaine Califf, and Raymond J. Mooney
Book Recommending Using Text Categorization with Extracted Information 1998
Raymond J. Mooney, Paul N. Bennett, and Loriene Roy
Boundary region relations 1998
Emilio Remolina and Benjamin Kuipers
Causal Action Theories and Satisfiability Planning 1998
Hudson Turner
Confidence Based Dual Reinforcement Q-Routing: An On-Line Adaptive Network Routing Algorithm 1998
Shailesh Kumar
Confidence Based Q-Routing: An On-Line Adaptive Network Routing Algorithm 1998
Shailesh Kumar and Risto Miikkulainen
Eugenic Evolution For Combinatorial Optimization 1998
John W. Prior
Evolving Neural Networks To Play Go 1998
Norman Richards, David Moriarty, and Risto Miikkulainen
Hierarchical Evolution Of Neural Networks 1998
David E. Moriarty and Risto Miikkulainen
Integrating vision and spatial reasoning for assistive navigation 1998
W. S. Gribble, R. L. Browning, M. Hewett, E. Remolina and Benjamin J. Kuipers
Intrusion Detection With Neural Networks 1998
Jake Ryan, Meng-Jang Lin, and Risto Miikkulainen
Modeling The Emergence Of Syllable Systems 1998
Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen
Navigation and mapping in large scale space 1998
Benjamin J. Kuipers and T. Levitt
Pattern-Generator-Driven Development In Self-Organizing Models 1998
James A. Bednar and Risto Miikkulainen
Relational Learning of Pattern-Match Rules for Information Extraction 1998
Mary Elaine Califf and Raymond J. Mooney
Relational Learning Techniques for Natural Language Information Extraction 1998
Mary Elaine Califf
Satisfiability Planning with Causal Theories 1998
Norman McCain and Hudson Turner
Self-Organization And Segmentation In A Laterally Connected Orientation Map Of Spiking Neurons 1998
Yoonsuck Choe and Risto Miikkulainen
Semantic Lexicon Acquisition for Learning Natural Language Interfaces 1998
Cynthia Ann Thompson
Semantic Lexicon Acquisition for Learning Natural Language Interfaces 1998
Cynthia A. Thompson and Raymond J. Mooney
Situation Calculus and Causal Logic 1998
Vladimir Lifschitz
Text Categorization Through Probabilistic Learning: Applications to Recommender Systems 1998
Paul N. Bennett
The CMUnited-97 Simulator Team 1998
Peter Stone and Manuela Veloso
The CMUnited-97 Small-Robot Team 1998
Manuela Veloso and Peter Stone and Kwun Han and Sorin Achim
The Impact of Perception on Agent Architectures 1998
Micheal Hewett
The RoboCup Physical Agent Challenge: Phase-I 1998
Minoru Asada and Yasuo Kuniyoshi and Alexis Drogoul and Hajime Asama and Maja Mataric and Dominique Duhaut and Peter Stone and Hiroaki Kitano
Theory Refinement for Bayesian Networks with Hidden Variables 1998
Sowmya Ramachandran and Raymond J. Mooney
Theory Refinement of Bayesian Networks with Hidden Variables 1998
Sowmya Ramachandran and Raymond J. Mooney
Towards a formalization of the spatial semantic hierarchy 1998
Emilio Remolina and Benjamin Kuipers
Towards Collaborative and Adversarial Learning: A Case Study in Robotic Soccer 1998
Peter Stone and Manuela Veloso
Using Decision Tree Confidence Factors for Multiagent Control 1998
Peter Stone and Manuela Veloso
Using Multi-Strategy Learning to Improve Planning Efficiency and Quality 1998
Tara A. Estlin
An Inductive Logic Programming Method for Corpus-based Parser Construction 1997
John M. Zelle and Raymond J. Mooney
Applying ILP-based Techniques to Natural Language Information Extraction: An Experiment in Relational Learning 1997
Mary Elaine Califf and Raymond J. Mooney
Automated Modeling of Complex Systems to Answer Prediction Questions 1997
J. Rickel and Bruce Porter
Building Concept Representations from Reusable Components. 1997
Peter Clark and Bruce Porter
Causal Theories of Action and Change 1997
Norman McCain and Hudson Turner
Causality in Commonsense Reasoning about Actions 1997
Norman McCain
Convergence-Zone Episodic Memory: Analysis And Simulations 1997
Mark Moll and Risto Miikkulainen
Culling And Teaching In Neuro-Evolution 1997
Paul McQuesten and Risto Miikkulainen
Developing and Empirically Evaluating Robust Explanation Generators: The KNIGHT Experiments 1997
James C. Lester, Bruce Porter
Dual Reinforcement Q-Routing: An On-Line Adaptive Routing Algorithm 1997
Shailesh Kumar and Risto Miikkulainen
Dyslexic and Category-Specific Aphasic Impairments in a Self-Organizing Feature Map Model of the Lexicon 1997
Risto Miikkulainen
Forming Neural Networks Through Efficient And Adaptive Coevolution 1997
David E. Moriarty and Risto Miikkulainen
Incremental Evolution Of Complex General Behavior 1997
Faustino Gomez and Risto Miikkulainen
Integrating Abduction and Induction in Machine Learning 1997
Raymond J. Mooney
Interactive, Repair-Based Planning and Scheduling for Shuttle Payload Operations 1997
Gregg Rabideau and Steve Chien and Peter Stone and Jason Willis and Curt Eggemeyer and Tobias Mann
Iterative Refinement of Knowledge Bases with Consistency Guarantees 1997
Stephen F. Correl and Bruce W. Porter
Learning Parse and Translation Decisions From Examples With Rich Context 1997
Ulf Hermjakob and Raymond J. Mooney
Learning Parse and Translation Decisions From Examples With Rich Context 1997
Ulf Hermjakob
Learning to Improve both Efficiency and Quality of Planning 1997
Tara A. Estlin and Raymond J. Mooney
Learning to Parse Natural Language Database Queries into Logical Form 1997
Cynthia A. Thompson, Raymond J. Mooney, and Lappoon R. Tang
Natural Language Processing With Subsymbolic Neural Networks 1997
Risto Miikkulainen
On the Logic of Causal Explanation 1997
Vladimir Lifschitz
Parameter Revision Techniques for Bayesian Networks with Hidden Variables: An Experimental Comparison 1997
Sowmya Ramachandran and Raymond J. Mooney
Relational Learning of Pattern-Match Rules for Information Extraction 1997
Mary Elaine Califf and Raymond J. Mooney
Relational Learning Techniques for Natural Language Information Extraction 1997
Mary Elaine Califf
Representing Action: Indeterminacy and Ramifications 1997
Enrico Giunchiglia, G. Neelakantan Kartha and Vladimir Lifschitz
Representing Actions in Logic Programs and Default Theories: a Situation Calculus Approach 1997
Hudson Turner
Self-Organization And Segmentation With Laterally Connected Spiking Neurons 1997
Yoonsuck Choe and Risto Miikkulainen
Self-Organization, Plasticity, and Low-Level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex 1997
Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, and Joseph Sirosh
Semantic Lexicon Acquisition for Learning Parsers 1997
Cynthia A. Thompson and Raymond J. Mooney
Software Reuse by Specialization of Generic Procedures through Views 1997
Gordon S. Novak Jr.
Symbiotic Evolution Of Neural Networks In Sequential Decision Tasks 1997
David E. Moriarty
The RoboCup Synthetic Agent Challenge 97 1997
Hiroaki Kitano and Milind Tambe and Peter Stone and Manuela Veloso and Silvia Coradeschi and Eiichi Osawa and Hitoshi Matsubara and Itsuki Noda and Minoru Asada
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex 1997
James A. Bednar
Two Components of an Action Language 1997
Vladimir Lifschitz
Update by Means of Inference Rules 1997
Teodor Przymusinski and Hudson Turner
Using Access Paths to Guide Inference with Conceptual Graphs 1997
Peter Clark and Bruce Porter
Visual Schemas In Neural Networks For Object Recognition And Scene Analysis 1997
Wee Kheng Leow, Risto Miikkulainen
A Compositional Approach to Representing Planning Operators 1996
Peter Clark, Bruce Porter, and Don Batory
A Computational Model of Complex Concept Composition 1996
C. Andersen
A hierarchy of qualitative representations for space 1996
Benjamin Kuipers
A Novel Application of Theory Refinement to Student Modeling 1996
Paul Baffes and Raymond J. Mooney
Advantages of Decision Lists and Implicit Negative in Inductive Logic Programming 1996
Mary Elaine Califf and Raymond J. Mooney
Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function 1996
Peter Stone and Manuela Veloso
Building a Dedicated Robotic Soccer System 1996
Sorin Achim and Peter Stone and Manuela Veloso
Combining Symbolic and Connectionist Learning Methods to Refine Certainty-Factor Rule-Bases 1996
J. Jeffrey Mahoney
Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning 1996
Raymond J. Mooney
Comparative Results on Using Inductive Logic Programming for Corpus-based Parser Construction 1996
John M. Zelle and Raymond J. Mooney
Corpus-Based Lexical Acquisition For Semantic Parsing 1996
Cynthia Thompson
Efficient Reinforcement Learning Through Symbiotic Evolution 1996
David E. Moriarty and Risto Miikkulainen
Evolving Obstacle Avoidance Behavior In A Robot Arm 1996
David E. Moriarty and Risto Miikkulainen
Foundations of Logic Programming 1996
Vladimir Lifschitz
Hybrid Learning of Search Control for Partial-Order Planning 1996
Tara A. Estlin and Raymond J. Mooney
Inductive Logic Programming for Natural Language Processing 1996
Raymond J. Mooney
Integrating EBL and ILP to Acquire Control Rules for Planning 1996
Tara A. Estlin and Raymond J. Mooney
Integrating Explanation-Based and Inductive Learning Techniques to Acquire Search-Control for Planning 1996
Tara A. Estlin
Introduction: The Emerging Understanding of Lateral Interactions in the Cortex 1996
Risto Miikkulainen and Joseph Sirosh
Lateral Interactions In The Cortex: Structure And Function 1996
Joseph Sirosh, Risto Miikkulainen, and Yoonsuck Choe (editors)
Laterally Interconnected Self-Organizing Maps In Hand-Written Digit Recognition 1996
Yoonsuck Choe, Joseph Sirosh, and Risto Miikkulainen
Learning the Past Tense of English Verbs Using Inductive Logic Programming 1996
Raymond J. Mooney and Mary Elaine Califf
Learning to Parse Database Queries using Inductive Logic Programming 1996
John M. Zelle and Raymond J. Mooney
Lexical Acquisition: A Novel Machine Learning Problem 1996
Cynthia A. Thompson and Raymond J. Mooney
Multi-Strategy Learning of Search Control for Partial-Order Planning 1996
Tara A. Estlin and Raymond J. Mooney
On-Line Adaptation Of A Signal Predistorter Through Dual Reinforcement Learning 1996
Patrick Goetz, Shailesh Kumar and Risto Miikkulainen
Predictive Memory for an Inaccessible Environment 1996
Mike Bowling and Peter Stone and Manuela Veloso
Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes 1996
Siddarth Subramanian and Raymond J. Mooney
Refinement-Based Student Modeling and Automated Bug Library Construction 1996
Paul Baffes and Raymond Mooney
Revising Bayesian Network Parameters Using Backpropagation 1996
Sowmya Ramachandran and Raymond J. Mooney
Self-Organization and Functional Role of Lateral Connections and Multisize Receptive Fields in the Primary Visual Cortex 1996
Joseph Sirosh and Risto Miikkulainen
Self-Organization of Orientation Maps, Lateral Connections, and Dynamic Receptive Fields in the Primary Visual Cortex 1996
Joseph Sirosh, Risto Miikkulainen and James A. Bednar
Spatial Semantic Hierarchy for a Physical Mobile Robot 1996
Wan Yik Lee
Splitting a Default Theory 1996
Hudson Turner
Subsymbolic Case-Role Analysis Of Sentences With Embedded Clauses 1996
Risto Miikkulainen
Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex 1996
Joseph Sirosh and Risto Miikkulainen
User-guided Interleaving of Planning and Execution 1996
Peter Stone and Manuela Veloso
A Causal Theory of Ramifications and Qualifications 1995
Norman McCain and Hudson Turner
A Comparison of Two Methods Employing Inductive Logic Programming for Corpus-based Parser Constuction 1995
John M. Zelle and Raymond J. Mooney
A Guide to Programming Spot, a Mobile Robot of the University of Texas at Austin 1995
Wan Yik Lee
A Mathematical Investigation of Reasoning about Actions 1995
Neelakantan Kartha
A Model Of Visually Guided Plasticity Of The Auditory Spatial Map In The Barn Owl 1995
Andrea Haessly, Joseph Sirosh and Risto Miikkulainen
A Preliminary PAC Analysis of Theory Revision 1995
Raymond J. Mooney
A Self-Organizing Neural Network Model Of The Primary Visual Cortex 1995
Joseph Sirosh
A Simple Formalization of Actions Using Circumscription 1995
G. Neelakantan Kartha and Vladimir Lifschitz
Acquisition of a Lexicon from Semantic Representations of Sentences 1995
Cynthia A. Thompson
Automated Modeling of Complex Systems for Answering Prediction Questions 1995
J. Rickel
Automated Refinement of First-Order Horn-Clause Domain Theories 1995
Bradley L. Richards and Raymond J. Mooney
Conversion of Units of Measurement 1995
Gordon S. Novak Jr.
Creation of Views for Reuse of Software with Different Data Representations 1995
Gordon S. Novak Jr.
Dependent Fluents 1995
Enrico Giunchiglia and Vladimir Lifschitz
Diagrams for Solving Physical Problems 1995
Gordon Novak
Discovering Complex Othello Strategies Through Evolutionary Neural Networks 1995
David E. Moriarty and Risto Miikkulainen
ECWA Made Easy 1995
Vladimir Lifschitz
Encouraging Experimental Results on Learning CNF 1995
Raymond J. Mooney
FLECS: Planning with a Flexible Commitment Strategy 1995
Manuela Veloso and Peter Stone
From Disjunctive Programs to Abduction 1995
Vladimir Lifschitz and Hudson Turner
High-Speed Navigation with Approximate Maps 1995
Richard Froom
Inducing Logic Programs without Explicit Negative Examples 1995
John M. Zelle, Cynthia A. Thompson, Mary Elaine Califf, and Raymond J. Mooney
Induction of First-Order Decision Lists: Results on Learning the Past Tense of English Verbs 1995
Raymond J. Mooney and Mary Elaine Califf
Laterally Interconnected Self-Organizing Feature Map In Handwritten Digit Recognition 1995
Yoonsuck Choe
Learning Sequential Decision Tasks 1995
David E. Moriarty and Risto Miikkulainen
Loop Checking and the Well-founded Semantics 1995
Vladimir Lifschitz, Norman McCain, Teodor C. Przymusinski and Robert F. Staerk
Map Learning with Uninterpreted Sensors and Effectors 1995
David M. Pierce
Modeling Cortical Plasticity Based On Adapting Lateral Interaction 1995
Joseph Sirosh and Risto Miikkulainen
Multiple-Fault Diagnosis Using General Qualitative Models with Fault Modes 1995
Siddarth Subramanian and Raymond J. Mooney
Nested Abnormality Theories 1995
Vladimir Lifschitz
Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex 1995
Joseph Sirosh and Risto Miikkulainen
Programming Spot in Lisp with SpotLisp Package 1995
Wan Yik Lee
Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes 1995
Siddarth Subramanian
Qualitative reasoning about dynamic change in the spatial properties of a physical system 1995
Raman Rajagopalan
Refinement of Bayesian Networks by Combining Connectionist and Symbolic Techniques 1995
Sowmya Ramachandran
Robust Natural Language Generation from Large-Scale Knowledge Bases 1995
Charles B. Callaway and James Lester
SARDNET: A Self-Organizing Feature Map For Sequences 1995
Daniel L. James and Risto Miikkulainen
Script-Based Inference And Memory Retrieval In Subsymbolic Story Processing 1995
Risto Miikkulainen
SLDNF, Constructive Negation and Grounding 1995
Vladimir Lifschitz
Slow visual search in a fast-changing world 1995
William S. Gribble
The Logic of Common Sense 1995
Vladimir Lifschitz
Using Inductive Logic Programming to Automate the Construction of Natural Language Parsers 1995
John M. Zelle
Using Testing to Iteratively Improve Training 1995
Peter Stone and Manuela Veloso
Visual Schemas In Object Recognition And Scene Analysis 1995
Risto Miikkulainen and Wee Kheng Leow
Visualizing High-Dimensional Structure with the Incremental Grid Growing Network 1995
Justine Blackmore
Visualizing High-Dimensional Structure With The Incremental Grid Growing Neural Network 1995
Justine Blackmore and Risto Miikkulainen
A Multistrategy Approach to Theory Refinement 1994
Raymond J. Mooney and Dirk Ourston
Actions with Indirect Effects (preliminary report) 1994
G. Neelakantan Kartha and Vladimir Lifschitz
Analysis and Empirical Studies of Derivational Analogy 1994
B. Blumenthal and Bruce Porter
Autoepistemic Logic and Introspective Circumscription 1994
Michael Gelfond, Vladimir Lifschitz, Halina Przymusinska and Grigori Schwarz
Automated Modeling for Answering Prediction Questions: Selecting the Time Scale and System Boundary 1994
J. Rickel and Bruce Porter
Automatic Student Modeling and Bug Library Construction using Theory Refinement 1994
Paul T. Baffes
Circumscription 1994
Vladimir Lifschitz
Combining Top-Down And Bottom-Up Techniques In Inductive Logic Programming 1994
John M. Zelle, Raymond J. Mooney, and Joshua B. Konvisser
Comparing Methods For Refining Certainty Factor Rule-Bases 1994
J. Jeffrey Mahoney and Raymond J. Mooney
Composing Reusable Software Components through Views 1994
Gordon S. Novak Jr.
Cooperative Self-Organization Of Afferent And Lateral Connections In Cortical Maps 1994
Joseph Sirosh and Risto Miikkulainen
Evolutionary Neural Networks For Value Ordering In Constraint Satisfaction Problems 1994
David E. Moriarty and Risto Miikkulainen
Evolving Neural Networks To Focus Minimax Search 1994
David E. Moriarty and Risto Miikkulainen
Extracting Viewpoints from Knowledge Bases 1994
Liane Acker and Bruce Porter
Generating Programs from Connections of Physical Models 1994
Gordon S. Novak Jr.
Grounding Robotic Control With Genetic Neural Networks 1994
Diane Law and Risto Miikkulainen
Inducing Deterministic Prolog Parsers From Treebanks: A Machine Learning Approach 1994
John M. Zelle and Raymond J. Mooney
Inductive Learning For Abductive Diagnosis 1994
Cynthia A. Thompson and Raymond J. Mooney
Integrated Connectionist Models: Building AI Systems on Subsymbolic Foundations 1994
Risto Miikkulainen
Integrating ILP and EBL 1994
Raymond J. Mooney and John M. Zelle
Language Independence and Language Tolerance in Logic Programs 1994
Norman McCain and Hudson Turner
Learning Qualitative Models for Systems with Multiple Operating Regions 1994
Sowmya Ramachandran, Raymond J. Mooney, and Benjamin J. Kuipers
Learning to explore and build maps 1994
D. Pierce and Benjamin Kuipers
Learning to Solve Complex Planning Problems: Finding Useful Auxiliary Problems 1994
Peter Stone and Manuela Veloso
Lexical Disambiguation Based on Distributed Representations of Context Frequency 1994
Marshall R. Mayberry III and Risto Miikkulainen
Minimal Belief and Negation as Failure 1994
Vladimir Lifschitz
Modifying Network Architectures For Certainty-Factor Rule-Base Revision 1994
J. Jeffrey Mahoney and Raymond J. Mooney
Multiple-Fault Diagnosis Using General Qualitative Models with Fault Modes 1994
Siddarth Subramanian and Raymond J. Mooney
Priming, Perceptual Reversal, And Circular Reaction In A Neural Network Model Of Schema-Based Vision 1994
Wee Kheng Leow and Risto Miikkulainen
Representing And Learning Visual Schemas In Neural Networks For Scene Analysis 1994
Wee Kheng Leow and Risto Miikkulainen
Searle, Subsymbolic Functionalism And Synthetic Intelligence 1994
Diane Law
Self-Organizing Feature Maps With Lateral Connections: Modeling Ocular Dominance 1994
Joseph Sirosh and Risto Miikkulainen
Short Algernon Reference Manual (for Algernon version 1.3.0) 1994
Benjamin J. Kuipers and J. M. Crawford
Signed Logic Programs 1994
Hudson Turner
Splitting a Logic Program 1994
Vladimir Lifschitz and Hudson Turner
The Capacity Of Convergence-Zone Episodic Memory 1994
Mark Moll, Risto Miikkulainen, Jonathan Abbey
The composition and validation of heterogeneous control laws 1994
Benjamin J. Kuipers and K. Astrom
The need for different domain-independent heuristics 1994
Peter Stone and Manuela Veloso and Jim Blythe
Theory Refinement Combining Analytical and Empirical Methods 1994
Dirk Ourston and Raymond J. Mooney
Verb Inflections in German Child Language: A Connectionist Account 1994
Gert Westermann and Risto Miikkulainen
VISOR: Learning Visual Schemas In Neural Networks For Object Recognition And Scene Analysis 1994
Wee Kheng Leow
VISOR: Schema-Based Scene Analysis With Structured Neural Networks 1994
Wee Kheng Leow and Risto Miikkulainen
A Monotonicity Theorem for Extended Logic Programs 1993
Hudson Turner
Algernon for Expert Systems 1993
Benjamin Kuipers
Automated modeling of physical systems in the presence of incomplete knowledge 1993
Adam Farquhar
Combining Connectionist and Symbolic Learning to Refine Certainty-Factor Rule-Bases 1993
J. Jeffrey Mahoney and Raymond J. Mooney
Combining FOIL and EBG to Speed-Up Logic Programs 1993
John M. Zelle and Raymond J. Mooney
Diagrams and Text as Computer Input 1993
Gordon Novak and William Bulko
Extended Logic Programs as Autoepistemic Theories 1993
Vladimir Lifschitz and Grigori Schwarz
Extending Theory Refinement to M-of-N Rules 1993
Paul T. Baffes and Raymond J. Mooney
How Lateral Interaction Develops In A Self-Organizing Feature Map 1993
Joseph Sirosh and Risto Miikkulainen
Incremental Grid Growing: Encoding High-Dimensional Structure Into A Two-Dimensional Feature Map 1993
Justine Blackmore and Risto Miikkulainen
Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning 1993
Raymond J. Mooney
Inductive Learning For Abductive Diagnosis 1993
Cynthia A. Thompson
Integrating Theory and Data in Category Learning 1993
Raymond J. Mooney
Learning Search-Control Heuristics for Logic Programs: Applications to Speedup Learning and Language Acquisition 1993
John M. Zelle
Learning Semantic Grammars With Constructive Inductive Logic Programming 1993
John M. Zelle and Raymond J. Mooney
Learning to Model Students: Using Theory Refinement to Detect Misconceptions 1993
Paul T. Baffes
Representing Action and Change by Logic Programs 1993
Michael Gelfond and Vladimir Lifschitz
Representing Visual Schemas in Neural Networks for Scene Analysis 1993
Wee Kheng Leow and Risto Miikkulainen
Restricted Monotonicity 1993
Vladimir Lifschitz
Subsymbolic Natural Language Processing: An Integrated Model Of Scripts, Lexicon, And Memory 1993
Risto Miikkulainen
Symbolic Revision of Theories With M-of-N Rules 1993
Paul T. Baffes and Raymond J. Mooney
The semantic hierarchy in robot learning 1993
Benjamin Kuipers, R. Froom, W.-Y. Lee and D. Pierce
A First-Order Horn-Clause Abductive System and Its Use in Plan Recognition and Diagnosis 1992
Hwee Tou Ng and Raymond J. Mooney
A General Abductive system with application to plan recognition and diagnosis 1992
Hwee Tou Ng
Abductive Plan Recognition and Diagnosis: A Comprehensive Empirical Evaluation 1992
Hwee Tou Ng and Raymond J. Mooney
An Operator-Based Approach to First-Order Theory Revision 1992
Bradley Lance Richards
Approximate maps for high-speed control of a mobile robot 1992
Richard Froom
Artificial Intelligence 1992
Gordon Novak
Automated Debugging of Logic Programs via Theory Revision 1992
Raymond J. Mooney and Bradley L. Richards
Automatic Abduction of Qualitative Models 1992
Bradley L. Richards, Ina Kraan, and Benjamin J. Kuipers
Batch versus Incremental Theory Refinement 1992
Raymond J. Mooney
Belief Revision in the Context of Abductive Explanation 1992
Siddarth Subramanian
Combining Symbolic and Neural Learning to Revise Probabilistic Theories 1992
J. Jeffrey Mahoney and Raymond J. Mooney
Data Rectification Using Recurrent (Elman) Neural Networks 1992
Thomas W. Karjala, David M. Himmelblau and Risto Miikkulainen
Growing Layers of Perceptrons: Introducing the Extentron Algorithm 1992
Paul T. Baffes and John M. Zelle
Learning Relations by Pathfinding 1992
Bradley L. Richards and Raymond J. Mooney
Negotiated Interfaces for Software Reuse 1992
Gordon S. Novak Jr., Fredrick N. Hill, Man Lee Wan, and Brian G. Sayrs
Results of an experiment in domain knowledge base construction: a comparison of the Classic and Algernon knowledge representation systems 1992
Raman Rajagopalan
Schema acquisition from a single example 1992
W. Ahn, W. F. Brewer and Raymond J. Mooney
Software Reuse through View Type Clusters 1992
Gordon S. Novak Jr.
Speeding-up Logic Programs by Combining EBG and FOIL 1992
John M. Zelle and Raymond J. Mooney
Trace Feature Map: A Model Of Episodic Associative Memory 1992
Risto Miikkulainen
Using Theory Revision to Model Students and Acquire Stereotypical Errors 1992
Paul T. Baffes and Raymond J. Mooney
A Neural Network For Attentional Spotlight 1991
Wee Kheng Leow and Risto Miikkulainen
A robot exploration and mapping strategy based on a semantic hierarchy of spatial representations 1991
Benjamin J. Kuipers and Y.-T. Byun
Acquiring effective knowledge of environment geometry for minimum-time control of a mobile robot 1991
Richard Froom
Algernon -- a tractable system for knowledge representation 1991
J. M. Crawford and Benjamin J. Kuipers
ALL: formalizing access-limited reasoning 1991
J. M. Crawford and Benjamin J. Kuipers
An Efficient First-Order Horn-Clause Abduction System Based on the ATMS 1991
Hwee Tou Ng and Raymond J. Mooney
Answer Sets in General Nonmonotonic Reasoning (preliminary report) 1991
Vladimir Lifschitz and Thomas Y. C. Woo
Classical Negation in Logic Programs and Disjunctive Databases 1991
Michael Gelfond and Vladimir Lifschitz
Constructive Induction in Theory Refinement 1991
Raymond J. Mooney and Dirk Ourston
Disjunctive Defaults 1991
Michael Gelfond, Vladimir Lifschitz, Halina Przymusinska and Miroslaw Truszczynski
Editorial 1991
Vladimir Lifschitz
First-Order Theory Revision 1991
Bradley L. Richards and Raymond J. Mooney
Improving Shared Rules in Multiple Category Domain Theories 1991
Dirk Ourston and Raymond J. Mooney
Learning hill-climbing functions as a strategy for generating behaviors in a mobile robot 1991
David M. Pierce and Benjamin J. Kuipers
Learning turn and travel actions with an uninterpreted sensorimotor apparatus 1991
David M. Pierce
Natural Language Processing With Modular PDP Networks And Distributed Lexicon 1991
Risto Miikkulainen and Michael G. Dyer
Negation and proof by contradiction in access-limited logic 1991
J. M. Crawford and Benjamin J. Kuipers
Representation of Models for Expert Problem Solving in Physics 1991
Hyung Joon Kook and Gordon Novak
Rules and Precedents as Complementary Warrants 1991
K. Branting and Bruce Porter
Self-Organizing Process Based On Lateral Inhibition And Synaptic Resource Redistribution 1991
Risto Miikkulainen
Symbolic and Neural Learning Algorithms: An Experimental Comparison 1991
J.W. Shavlik, Raymond J. Mooney and G. Towell
The composition of heterogeneous control laws 1991
Benjamin Kuipers and Karl Astrom
Theory Refinement with Noisy Data 1991
Raymond J. Mooney and Dirk Ourston
Towards a Metatheory of Action 1991
Vladimir Lifschitz
Using Explanation-Based and Empirical Methods in Theory Revision 1991
Dirk Ourston
Using Marker-Based Genetic Encoding Of Neural Networks To Evolve Finite-State Behaviour 1991
Brad Fullmer and Risto Miikkulainen
A PDP Architecture For Processing Sentences With Relative Clauses 1990
Risto Miikkulainen
Access-Limited Logic: A Language for Knowledge Representation 1990
James Crawford
Changing the Rules: A Comprehensive Approach to Theory Refinement 1990
D. Ourston and Raymond J. Mooney
Concept Learning and Heuristic Classification in Weak-Theory Domains 1990
R. Bareiss, Bruce Porter and R. Holte
DISCERN: A Distributed Artificial Neural Network Model Of Script Processing And Memory 1990
Risto Miikkulainen
Learning Plan Schemata From Observation: Explanation-Based Learning for Plan Recognition 1990
Raymond J. Mooney
On Open Defaults 1990
Vladimir Lifschitz
On the Role of Coherence in Abductive Explanation 1990
Hwee Tou Ng and Raymond J. Mooney
QPC: a compiler from physical models into qualitative differential equations 1990
J. M. Crawford, A. Farquhar, Benjamin J. Kuipers
Script Recognition With Hierarchical Feature Maps 1990
Risto Miikkulainen
Understanding Natural Language with Diagrams 1990
Gordon Novak and William Bulko
An Experimental Comparison of Symbolic and Connectionist Learning Algorithms 1989
Raymond J. Mooney, J.W. Shavlik, G. Towell and A. Gove
Benchmark Problems for Formal Nonmonotonic Reasoning 1989
Vladimir Lifschitz
Controlling Search for the Consequences of New Information during Knowledge Integration 1989
K. Murray and Bruce Porter
Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems 1989
Douglas Fisher and Kathleen McKusick and Raymond J. Mooney and Jude W. Shavlik and Geoffrey Towell
The Effect of Rule Use on the Utility of Explanation-Based Learning 1989
Raymond J. Mooney
Toward a theory of access-limited logic for knowledge representation 1989
J. M. Crawford and Benjamin J. Kuipers
A General Explanation-Based Learning Mechanism and its Application to Narrative Understanding 1988
Raymond J. Mooney
A robust qualitative method for spatial learning in unknown environments 1988
Benjamin J. Kuipers and Y.-T. Byun.
Generalizing the Order of Operators in Macro-Operators 1988
Raymond J. Mooney
The Stable Model Semantics for Logic Programming 1988
Michael Gelfond and Vladimir Lifschitz
Integrated Learning of Words and their Underlying Concepts 1987
Raymond J. Mooney
On the Semantics of STRIPS 1987
Vladimir Lifschitz
Schema Acquisition from One Example: Psychological Evidence for Explanation-Based Learning 1987
W. Ahn, Raymond J. Mooney, W.F. Brewer and G.F. DeJong
A Domain Independent Explanation-Based Generalizer 1986
Raymond J. Mooney and S.W. Bennett
Explanation-Based Learning: An Alternative View 1986
G.F. DeJong and Raymond J. Mooney
Generalizing Explanations of Narratives into Schemata 1985
Raymond J. Mooney
Generalizing Explanations of Narratives into Schemata 1985
Raymond J. Mooney
Learning Schemata for Natural Language Processing 1985
Raymond J. Mooney and Gerald F. DeJong
The Map-Learning Critter 1985
Benjamin Kuipers
Data Abstraction in GLISP 1983
Gordon Novak
GLISP: A Lisp-based Language with Data Abstraction 1983
Gordon Novak
GLISP: A Lisp-based Programming System with Data Abstraction 1983
Gordon S. Novak Jr.
Knowledge Based Programming Using Abstract Data Types 1983
Gordon Novak
Modeling human knowledge of routes: partial knowledge and individual variation 1983
Benjamin J. Kuipers
The cognitive map: Could it have been any other way? 1983
Benjamin J. Kuipers
GLISP: A High-Level Language for A.I. Programming 1982
Novak, Gordon
The `Map in the Head' metaphor 1982
Benjamin J. Kuipers
GLISP: An Efficient, English-like Programming Language 1981
Novak, Gordon
Research on Expert Problem Solving in Physics 1980
Gordon Novak and Agustin Araya
Commonsense knowledge of space: learning from experience 1979
Benjamin J. Kuipers
On representing common sense knowledge 1979
Benjamin J. Kuipers
Modeling spatial knowledge 1978
Benjamin J. Kuipers
Representations of Knowledge in a Program for Solving Physics Problems 1977
Novak, Gordon
Representing Knowledge of Large-Scale Space 1977
Benjamin J. Kuipers
Computer Understanding of Physics Problems Stated in Natural Language 1976
Gordon Novak