Other Areas
This category includes papers published in other research areas that either don't fit easily into this hierarchy or are a mix of several methods and techniques.
People
Erkin Bahceci Ph.D. Student erkin@cs.utexas.edu
Igor V. Karpov Ph.D. Student ikarpov@cs.utexas.edu
Risto Miikkulainen Professor risto@cs.utexas.edu
Publications (136)
Learning the Sensorimotor Structure of the Foveated Retina 2009
Jeremy Stober, Lewis Fishgold, and Benjamin Kuipers
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
Autonomous Transfer for Reinforcement Learning 2008
Matthew E. Taylor and Gregory Kuhlmann and Peter Stone
Instance-Based Action Models for Fast Action Planning 2008
Mazda Ahmadi and Peter Stone
Inter-Classifier Feedback for Human-Robot Interaction in a Domestic Setting 2008
Juhyun Lee and W. Bradley Knox and Peter Stone
Mitigating Catastrophic Failure at Intersections of Autonomous Vehicles 2008
Kurt Dresner and Peter Stone
Model-based Reinforcement Learning in a Complex Domain 2008
Shivaram Kalyanakrishnan and Peter Stone and Yaxin Liu
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
Replacing the Stop Sign: Unmanaged Intersection Control for Autonomous Vehicles 2008
Mark VanMiddlesworth and Kurt Dresner and Peter Stone
Transfer Learning and Intelligence: an Argument and Approach 2008
Matthew E. Taylor and Gregory Kuhlmann and Peter Stone
Transferring Instances for Model-Based Reinforcement Learning 2008
Matthew E. Taylor and Nicholas K. Jong and Peter Stone
Accelerating Search with Transferred Heuristics 2007
Matthew E. Taylor and Gregory Kuhlmann and Peter Stone
Action Selection for Illumination Invariant Color Learning 2007
Mohan Sridharan and Peter Stone
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
Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition 2007
Michael P. Wellman and Amy Greenwald and Peter Stone
Autonomous Learning of Stable Quadruped Locomotion 2007
Manish Saggar and Thomas D'Silva and Nate Kohl and Peter Stone
Batch Reinforcement Learning in a Complex Domain 2007
Shivaram Kalyanakrishnan and Peter Stone
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
Empirical Studies in Action Selection for Reinforcement Learning 2007
Shimon Whiteson and Matthew E. Taylor and Peter Stone
General Game Learning using Knowledge Transfer 2007
Bikramjit Banerjee and Peter Stone
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
IFSA: Incremental Feature-Set Augmentation for Reinforcement Learning Tasks 2007
Mazda Ahmadi and Matthew E. Taylor and Peter Stone
Intelligent Autonomous Robotics: A Robot Soccer Case Study 2007
Peter Stone
Learning Policy Selection for Autonomous Intersection Management 2007
Kurt Dresner and Peter Stone
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
Multiagent learning is not the answer. It is the question 2007
Peter Stone
Planning Actions to Enable Color Learning on a Mobile Robot 2007
Mohan Sridharan and Peter Stone
Representation Transfer for Reinforcement Learning 2007
Matthew E. Taylor and Peter Stone
Selective Visual Attention for Object Detection on a Legged Robot 2007
Daniel Stronger and Peter Stone
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
Structure Based Color Learning on a Mobile Robot under Changing Illumination 2007
Mohan Sridharan and Peter Stone
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 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
A Multi-Robot System for Continuous Area Sweeping Tasks 2006
Mazda Ahmadi and Peter Stone
Adaptive Mechanism Design: A Metalearning Approach 2006
David Pardoe and Peter Stone and Maytal Saar-Tsechansky and Kerem Tomak
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
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
Comparing Evolutionary and Temporal Difference Methods for Reinforcement Learning 2006
Matthew Taylor and Shimon Whiteson and Peter Stone
Evolutionary Function Approximation for Reinforcement Learning 2006
Shimon Whiteson and Peter Stone
Human-Usable and Emergency Vehicle-Aware Control Policies for Autonomous Intersection Management 2006
Kurt Dresner and Peter Stone
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
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
Predictive Planning for Supply Chain Management 2006
David Pardoe and Peter Stone
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning 2006
Shimon Whiteson and Peter Stone
TacTex-2005: A Champion Supply Chain Management Agent 2006
David Pardoe and Peter Stone
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
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
A Polynomial-time Nash Equilibrium Algorithm for Repeated Games 2005
Michael L. Littman and Peter Stone
Autonomous Color Learning on a Mobile Robot 2005
Mohan Sridharan and Peter Stone
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
Developing Adaptive Auction Mechanisms 2005
David Pardoe and Peter Stone
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
Multiagent Traffic Management: An Improved Intersection Control Mechanism 2005
Kurt Dresner and Peter Stone
Practical Vision-Based Monte Carlo Localization on a Legged Robot 2005
Mohan Sridharan and Gregory Kuhlmann and Peter Stone
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
State Abstraction Discovery from Irrelevant State Variables 2005
Nicholas K. Jong and Peter Stone
The First International Trading Agent Competition: Autonomous Bidding Agents 2005
Peter Stone and Amy Greenwald
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
Towards Illumination Invariance in the Legged League 2005
Mohan Sridharan and Peter Stone
Value Functions for RL-Based Behavior Transfer: A Comparative Study 2005
Matthew E. Taylor and Peter Stone and Yaxin Liu
Adaptive Job Routing and Scheduling 2004
Shimon Whiteson and Peter Stone
Automatic Compilation of Protocol Insecurity Problems into Logic Programming 2004
Alesandro Armando, Luca Compagna, and Yuliya Lierler
Machine Learning for Fast Quadrupedal Locomotion 2004
Nate Kohl and Peter Stone
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism 2004
Kurt Dresner and Peter Stone
Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion 2004
Nate Kohl and Peter Stone
RoboCup as an Introduction to CS Research 2004
Peter Stone
TacTex-03: A Supply Chain Management Agent 2004
David Pardoe and Peter Stone
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 Employing PSRs in a Continuous Domain 2004
Nicholas K. Jong and Peter Stone
Using RoboCup in university-level computer science education 2004
Elizabeth Sklar and Simon Parsons and Peter Stone
Concurrent Layered Learning 2003
Shimon Whiteson and Peter Stone
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
Learning Predictive State Representations 2003
Satinder Singh and Michael L. Littman and Nicholas K. Jong and David Pardoe and Peter Stone
Multiagent Competitions and Research: Lessons from RoboCup and TAC 2003
Peter Stone
The 2001 Trading Agent Competition 2003
Michael P. Wellman and Amy Greenwald and Peter Stone and Peter R. Wurman
The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research 2003
Itsuki Noda and Peter Stone
ATTUnited-2001: Using Heterogeneous Players 2002
Peter Stone
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
Self-enforcing Strategic Demand Reduction 2002
Paul S. A. Reitsma and Peter Stone and J'anos A. Csirik and Michael L. Littman
An Architecture for Action Selection in Robotic Soccer 2001
Peter Stone and David McAllester
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
Cobot in LambdaMOO: A Social Statistics Agent 2001
Charles Lee Isbell Jr. and Michael Kearns and Dave Kormann and Satinder Singh and Peter Stone
Computational Perceptual Attention 2001
Micheal Scott Hewett
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
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
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
Defining and Using Ideal Teammate and Opponent Models 2000
Peter Stone and Patrick Riley and Manuela Veloso
Layered Learning 2000
Peter Stone and Manuela Veloso
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer 2000
Peter Stone
Multiagent Systems: A survey from a machine learning perspective 2000
Peter Stone and Manuela Veloso
Overview of RoboCup-99 2000
Silvia Coradeschi and Lars Karlsson and Peter Stone and Tucker Balch and Gerhard Kraetzschmar and Minoru Asada
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
TPOT-RL Applied to Network Routing 2000
Peter Stone
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
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
A Layered Approach to Learning Client Behaviors in the RoboCup Soccer Server 1998
Peter Stone and Manuela Veloso
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 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
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
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
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
Predictive Memory for an Inaccessible Environment 1996
Mike Bowling and Peter Stone and Manuela Veloso
FLECS: Planning with a Flexible Commitment Strategy 1995
Manuela Veloso and Peter Stone
Projects
A Predictive Simulation Model of Competitive Dynamics in Innovation 2009 - 2013
The OpenNERO AI Research and Education Platform 2009 - Present
Software/Data
NKVis This package contains a 3D visualization tool for NK fitness landscapes. Two types of visualizations are provided: a 2011
OpenNERO OpenNERO is a general research and education platform for artificial intelligence. The platform is based on a simulatio... 2010
rtNEAT C++ The rtNEAT package contains source code implementing the real-time NeuroEvolution of Augmenting Topologies method. In ad... 2006
Demos
Simulation of Competitive Multi-Agent Search on NK Fitness LandscapesErkin Bahceci2012
Neuro-Evolving Robotic Operatives (NERO)Kenneth Stanley2007
Labs
Neural Networks