UTCS Artificial Intelligence
courses
talks/events
demos
people
projects
publications
software/data
labs
areas
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Applications
This section features publications that focus on a particular interesting application domain.
Subareas:
People
[Expand to show all 25]
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Suhaib Abdulquddos
Masters Alumni
suhaib [at] cs utexas edu
Matthew Alden
Ph.D. Alumni
mealden [at] uw edu
Justine Blackmore
Masters Alumni
jblackmorehlista [at] yahoo com
Brian D. Boyles
Masters Alumni
bboyles [at] utexas edu
Joseph Bruce
Formerly affiliated Ph.D. Student
Li-Chiu Chang
Formerly affiliated Visitor
changlc [at] mail tku edu tw
Chun-Chi Chen
Undergraduate Alumni
Alex van Eck Conradie
Formerly affiliated Visitor
Aliza Gold
Formerly affiliated Collaborator
Aravind Gowrisankar
Masters Alumni
Uli Grasemann
Postdoctoral Alumni
uli [at] cs utexas edu
Brian Greer
Undergraduate Alumni
Babak Hodjat
Collaborator
babak [at] cognizant com
Nate Kohl
Ph.D. Alumni
nate [at] natekohl net
Shailesh Kumar
Masters Alumni
Dan Lessin
Ph.D. Alumni
dlessin [at] cs utexas edu
Xun Li
Ph.D. Alumni
xun bhsfer [at] cs utexas edu
Kaitlin Maile
Formerly affiliated Ph.D. Student
kmaile [at] cs utexas edu
Risto Miikkulainen
Faculty
risto [at] cs utexas edu
Jake Ryan
Undergraduate Alumni
Hormoz Shahrzad
Masters Alumni
hormoz [at] cognizant com
Rini Sherony
Formerly affiliated Collaborator
rini sherony [at] tema toyota com
Bryan Silverthorn
Ph.D. Alumni
bsilvert [at] cs utexas edu
Joseph Sirosh
Ph.D. Alumni
joseph sirosh [at] gmail com
Cem C Tutum
Formerly affiliated Research Scientist
tutum [at] cs utexas edu
Publications
[Expand to show all 84]
[Minimize]
Discovering Effective Policies for Land-Use Planning
2024
Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Clemens Schwingshackl, Jacob Bieker, Hugo Cunha, and Babak Hodjat,
arXiv:2311.12304
(2024). (A shorter version appeared in the Proceedings of the NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning).
Generative AI: An AI Paradigm Shift in the Making?
2024
Risto Miikkulainen,
AI Magazine
(2024), pp. 1-3. https://doi.org/10.1002/aaai.12155.
Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management
2024
Ashok Khanna, Olivier Francon, and Risto Miikkulainen,
arXiv:2402.07949
(2024).
Using context to make gas classifiers robust to sensor drift
2024
Jamieson Warner, Ashwin Devaraj, and Risto Miikkulainen, In
Proceedings of the International Conference on Development and Learning (ICDL 2024)
, 2024. (also arXiv:2003.07292).
Pandemic Resilience: Developing an AI-calibrated Ensemble of Models to Inform Decision Making
2023
GPAI, Technical Report, Global Partnership on Artificial Intelligence.
Creative AI through Evolutionary Computation: Principles and Examples
2021
Risto Miikkulainen,
SN Computer Science
, Vol. 2 (2021), pp. 163.
Evaluating Medical Aesthetics Treatments through Evolved Age-Estimation Models
2021
Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Matt Yan, Michael Ye, Jingyuan Yang, Damon Caiazza, and Stephanie Manson Brown, In
Proceedings of the Genetic and Evolutionary Computation Conference
, pp. 1009–1017, 2021.
From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic
2021
Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak Hodjat, To Appear In
IEEE Transactions on Evolutionary Computation
, Vol. 25 (2021), pp. 386-401.
A Comparison of the Taguchi Method and Evolutionary Optimization in Multivariate Testing
2020
Jingbo Jiang, Diego Legrand, Robert Severn, and Risto Miikkulainen, In
Proceedings of the 2020 IEEE Congress on Evolutionary Computation
, 2020.
Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization
2020
Risto Miikkulainen, Myles Brundage, Jonathan Epstein, Tyler Foster, Babak Hodjat, Neil Iscoe, Jingbo Jiang, Diego Legrand, Sam Nazari, Xin Qiu, Michael Scharff, Cory Schoolland, Robert Severn, Aaron Shagrin,
AI Magazine
, Vol. 41 (2020), pp. 44-60.
Enhanced Optimization with Composite Objectives and Novelty Pulsation
2020
Hormoz Shahrzad, Babak Hodjat, Camille Dolle, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, and Risto Miikkulainen, To Appear In
Genetic Programming Theory and Practice XVII
2020. Springer, New York.
From Nodes to Networks: Evolving Recurrent Neural Networks
2020
Aditya Rawal, Risto Miikkulainen, In
Deep Neural Evolution: Deep Learning with Evolutionary Computation
, H. Iba and N. Noman (Eds.), pp. 233-251 2020. Springer. (also arxiv:1803.04439).
Improving Deep Learning Through Loss-Function Evolution
2020
Santiago Gonzalez, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
MDEA: Malware Detection with Evolutionary Adversarial Learning
2020
Xiruo Wang, Risto Miikkulainen, In
Proceedings of the 2020 IEEE Congress on Evolutionary Computation
, 2020.
Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential
2019
Risto Miikkulainen, Bret Greenstein, Babak Hodjat, Jerry Smith,
arxiv:1905.13178
(2019).
Enhancing Evolutionary Conversion Rate Optimization via Multi-armed Bandit Algorithms
2019
Xin Qiu and Risto Miikkulainen, In
Proceedings of the 31st Conference on Innovative Applications of Artificial Intelligence
2019.
Evolving Deep Neural Networks
2019
Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, and Babak Hodjat, In
Artificial Intelligence in the Age of Neural Networks and Brain Computing
, Robert Kozma, Cesare Alippi, Yoonsuck Choe, and Francesco Carlo Morabito (Eds.), pp. 293-312 2019. Amsterdam: Elsev...
Flavor-cyber-agriculture: Optimization of plant metabolites in an open-source control environment through surrogate modeling
2019
Arielle J. Johnson, Elliot Meyerson, John de la Parra, Timothy L. Savas, Risto Miikkulainen, Caleb B. Harper,
bioRxiv:424226
, Vol. (2019).
MDEA: Malware Detection with Evolutionary Adversarial Learning
2019
Xiruo Wang, Masters Thesis, Department of Computer Science, The University of Texas at Austin.
Discovering Gated Recurrent Neural Network Architectures
2018
Aditya Rawal, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
Functional Generative Design: An Evolutionary Approach to 3D-Printing
2018
Cem C. Tutum, Supawit Chockchowwat, Etienne Vouga and Risto Miikkulainen, To Appear In
Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2018)
, pp. 8, Kyoto, Japan, July 2018.
Learning Useful Features For Poker
2018
Arjun Nagineni, Technical Report, Department of Computer Sciences, The University of Texas at Austin.
Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization
2018
R. Miikkulainen, N. Iscoe, A. Shagrin, R. Rapp, S. Nazari, P. McGrath, C. Schoolland, E. Achkar, M. Brundage, J. Miller, J. Epstein, and G. Lamba, In
Proceedings of the Thirtieth Innovative Applications of Artificial Intelligence Conference
2018. AAAI.
Conversion Rate Optimization through Evolutionary Computation
2017
Risto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ron Cordell, Sam Nazari, Cory Schoolland, Myles Brundage, Jonathan Epstein, Randy Dean, Gurmeet Lamba, In
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2017, Berlin, Germany)
2017.
Evolutionary Decomposition for 3D Printing
2017
Eric A. Yu, Jin Yeom, Cem C. Tutum, Etienne Vouga, Risto Miikkulainen, To Appear In
Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2017) (Best Paper Award)
, pp. 8 pages, Berlin, Germany, July 2017.
How to Select a Winner in Evolutionary Optimization?
2017
Risto Miikkulainen, Hormoz Shahrzad, Nigel Duffy, and Phil Long, In
Proceedings of the IEEE Symposium Series in Computational Intelligence
2017. IEEE.
Constructing Game Agents Through Simulated Evolution
2016
Jacob Schrum and Risto Miikkulainen, In
Encyclopedia of Computer Graphics and Games
, Newton Lee (Eds.), pp. 1--10 2016. Springer.
Surrogate-based Evolutionary Optimization for Friction Stir Welding
2016
Cem C Tutum, Shaayaan Sayed and Risto Miikkulainen, In
Proceedings of IEEE World Congress on Computational Intelligence (WCCI 2016)
, pp. 8 pages, Vancouver, BC, Canada, July 2016.
Evolving Scout Agents for Military Simulations
2015
Brian D. Boyles, Masters Thesis, Department of Computer Sciences, The University of Texas at Austin.
Evolving Strategies for Social Innovation Games
2015
Erkin Bahceci, Riitta Katila and Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015)
, Madrid, Spain 2015.
Evolving Multimodal Behavior Through Subtask and Switch Neural Networks
2014
Xun Li and Risto Miikkulainen, In
Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14)
2014.
GRADE: Machine Learning Support for Graduate Admissions
2014
Austin Waters, Risto Miikkulainen,
AI Magazine
, Vol. 35 (2014), pp. 64-75.
Learning Decision Lists with Lags for Physiological Time Series
2014
Erik Hemberg, Kalyan Veeramachaneni, Prashan Wanigasekara, Hormoz Shahrzad, Babak Hodjat, Una-May O'Reilly, In
Workshop on Data Mining for Medicine and Healthcare at the 14th SIAM International Conference on Data Mining
, pp. 82-87, 2014.
Architecture of a Cyberphysical Avatar
2013
Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Quan Leng, Xiuming Zhu, Luis Sentis, Kwan Suk Kim, and Risto Miikkulainen, In
Proceedings of the ACM/IEEE Fourth International Conference on Cyber-Physical Systems (ICCPS-2013)
2013.
Extended Scaled Neural Predictor for Improved Branch Prediction
2013
Zihao Zhou, Mayank Kejriwal and Risto Miikkulainen, In
Proceedings of the International Joint Conference on Neural Networks
2013. IEEE.
GRADE: Machine Learning Support for Graduate Admissions
2013
Austin Waters, Risto Miikkulainen, In
Proceedings of the 25th Conference on Innovative Applications of Artificial Intelligence
2013.
IJCNN-2013 Tutorial on Evolution of Neural Networks
2013
Risto Miikkulainen, To Appear In unpublished. Tutorial slides..
Using Symmetry and Evolutionary Search to Minimize Sorting Networks
2013
Vinod K. Valsalam and Risto Miikkulainen,
Journal of Machine Learning Research
, Vol. 14, Feb (2013), pp. 303--331.
A Probabilistic Architecture for Algorithm Portfolios
2012
Bryan Silverthorn, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
Architecture of a Cyberphysical Avatar
2012
Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Xiuming Zhu, Luis Sentis, Kan Suk Kim, Risto Miikkulainen, and Jacob Menashe, In
Proceedings of the International Workshop on Real-Time and Distributed Computing in Emerging Applications (REACTION)
2012.
Surviving Solver Sensitivity: An ASP Practitioner's Guide
2012
Bryan Silverthorn, Yuliya Lierler and Marius Schneider,
International Conference on Logic Programming (ICLP)
(2012).
UT^2: Human-like Behavior via Neuroevolution of Combat Behavior and Replay of Human Traces
2011
Jacob Schrum, Igor V. Karpov and Risto Miikkulainen, In
Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011)
, pp. 329--336, Seoul, South Korea, September 2011. IEEE.
Temporal Convolution Machines for Sequence Learning
2009
Alan J Lockett and Risto Miikkulainen, Technical Report AI-09-04, Department of Computer Sciences, the University of Texas at Austin.
Computational Intelligence in Games
2006
Risto Miikkulainen, Bobby D. Bryant, Ryan Cornelius, Igor V. Karpov, Kenneth O. Stanley, and Chern Han Yong, In
Computational Intelligence: Principles and Practice
, Gary Y. Yen and David B. Fogel (Eds.), Piscataway, NJ 2006. IEEE Computational Intelligence Society.
Creating Intelligent Agents in Games
2006
Risto Miikkulainen,
The Bridge
(2006), pp. 5-13.
Academic AI and Video Games: A Case Study of Incorporating Innovative Academic Research into a Video Game Prototype
2005
Aliza Gold, In
Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05)
2005. Piscataway, NJ: IEEE.
Effective Image Compression Using Evolved Wavelets
2005
Uli Grasemann and Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference
2005.
Evolving Neural Network Agents in the NERO Video Game
2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen, In
Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05)
, Piscataway, NJ 2005. IEEE.
Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution
2005
Yiu Fai Sit and Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference
2005.
Neuroevolution of an Automobile Crash Warning System
2005
Kenneth Stanley, Nate Kohl, Rini Sherony, and Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference
2005.
Real-Time Learning in the NERO Video Game
2005
Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen, Thomas D'Silva, and Aliza Gold, In
Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2005) Demo Papers
2005.
Real-time Neuroevolution in the NERO Video Game
2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen,
IEEE Transactions on Evolutionary Computation
(2005), pp. 653-668. IEEE.
A Neurocontrol Paradigm for Intelligent Process Control using Evolutionary Reinforcement Learning
2004
Alex van Eck Conradie, PhD Thesis, Department of Chemical Engineering, University of Stellenbosch.
Efficient Evolution of Neural Networks Through Complexification
2004
Kenneth O. Stanley, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin.
Active Guidance for a Finless Rocket Using Neuroevolution
2003
Faustino J. Gomez and Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference
, pp. 2084-2095, San Francisco 2003. Morgan Kaufmann.
Incremental Nonmonotonic Parsing through Semantic Self-Organization
2003
Marshall R. Mayberry III, PhD Thesis, Department of Computer Sciences, the University of Texas at Austin. Technical Report AI-TR-04-310.
Adaptive Control Utilising Neural Swarming
2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich, In
Proceedings of the Genetic and Evolutionary Computation Conference
, William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and Riccardo Poli and Karth...
Intelligent Process Control Utilizing Symbiotic Memetic Neuro-Evolution
2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich, In
Proceedings of the 2002 Congress on Evolutionary Computation
, pp. 6 2002.
Numerical Optimization With Neuroevolution
2002
Brian Greer, Henri Hakonen, Risto Lahdelma, and Risto Miikkulainen, In
Proceedings of the 2002 Congress on Evolutionary Computation
, pp. 361-401, Piscataway, NJ 2002. IEEE. Undergraduate Thesis, Department of Computer Sciences, The University of Texas at Aust...
A Neuroevolution Method For Dynamic Resource Allocation On A Chip Multiprocessor
2001
Faustino J. Gomez, Doug Burger, and Risto Miikkulainen, In
Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks
, pp. 2355-2361, Piscataway, NJ 2001. IEEE.
Applying ESP And Region Specialists To Neuro-Evolution For Go
2001
Andres Santiago Perez-Bergquist, Technical Report TR-01-24, Department of Computer Science, University of Texas at Austin.
Co-Evolving A Go-Playing Neural Network
2001
Alex Lubberts and Risto Miikkulainen, In
Coevolution: {T}urning Adaptive Algorithms Upon Themselves, Birds-of-a-Feather Workshop, Genetic and Evolutionary Computation Conference ({GECCO}-2001)
, pp. 6 2001.
Creating Melodies With Evolving Recurrent Neural Networks
2001
Chun-Chi J. Chen and Risto Miikkulainen, In
Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks
, pp. 2241-2246, Piscataway, NJ 2001. IEEE.
Numerical Optimization with Neuroevolution
2001
Brian Greer, Technical Report TR-01-49, Department of Computer Science, The University of Texas at Austin.
Automatic Music Composition using Genetic Algorithm and Neural Networks: A Constrained Evolution Approach
2000
Chun-Chi Chen, Technical Report HR-00-02, Department of Computer Sciences, The University of Texas at Austin.
Neuro-Evolution And Natural Deduction
2000
Nirav S. Desai and Risto Miikkulainen, In
Proceedings of The First {IEEE} Symposium on Combinations of Evolutionary Computation and Neural Networks
, pp. 64-69, Piscataway, NJ 2000. IEEE.
Confidence Based Dual Reinforcement Q-Routing: An Adaptive On-Line Routing Algorithm
1999
Shailesh Kumar and Risto Miikkulainen, In
16th International Joint Conference on Artificial Intelligence (IJCAI-99)
, pp. 758--763, Stockholm, Sweden 1999. San Francisco, CA: Kaufmann.
Confidence Based Dual Reinforcement Q-Routing: An On-Line Adaptive Network Routing Algorithm
1998
Shailesh Kumar, Masters Thesis, Department of Computer Sciences, the University of Texas at Austin.. 108. Technical Report AI-98-267.
Confidence Based Q-Routing: An On-Line Adaptive Network Routing Algorithm
1998
Shailesh Kumar and Risto Miikkulainen,
Smart Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining, and Evolutionary Programming
C. H. Dagli and M. Akay and O. Ersoy and B. R. Fernandez and A. Smith (Eds.), Vol. 8 (1998).
Evolving Neural Networks To Play Go
1998
Norman Richards, David Moriarty, and Risto Miikkulainen,
Applied Intelligence
Thomas B{"a}ck (Eds.) (1998), pp. 768-775. San Francisco, CA: Morgan Kaufmann.
Hierarchical Evolution Of Neural Networks
1998
David E. Moriarty and Risto Miikkulainen, In
Proceedings of the 1998 IEEE Conference on Evolutionary Computation (ICEC98)
, pp. 428-433, Anchorage, AK 1998. Piscataway, NJ: IEEE.
Intrusion Detection With Neural Networks
1998
Jake Ryan, Meng-Jang Lin, and Risto Miikkulainen, In
Advances in Neural Information Processing Systems 10
, Michael I. Jordan and Michael J. Kearns and Sara A. Solla (Eds.), pp. 943-949, Department of Computer Sciences, The University of Texas ...
Dual Reinforcement Q-Routing: An On-Line Adaptive Routing Algorithm
1997
Shailesh Kumar and Risto Miikkulainen,
Smart Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining, and Evolutionary Programming
C. H. Dagli, M. Akay, O. Ersoy, B. R. Fernandez and A. Smith (Eds.), Vol. 7 (1997).
Symbiotic Evolution Of Neural Networks In Sequential Decision Tasks
1997
David E. Moriarty, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. 117. Technical Report UT-AI97-257.
Evolving Obstacle Avoidance Behavior In A Robot Arm
1996
David E. Moriarty and Risto Miikkulainen, In
From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior
, Pattie Maes and Maja J. Mataric and Jean-Arcady Meyer and Jordan Pollack an...
Laterally Interconnected Self-Organizing Maps In Hand-Written Digit Recognition
1996
Yoonsuck Choe, Joseph Sirosh, and Risto Miikkulainen, In
Advances in Neural Information Processing Systems 8
, David S. Touretzky and Michael C. Mozer and Michael E. Hasselmo (Eds.), pp. 736-742 1996. Cambridge, MA: MIT Press.
On-Line Adaptation Of A Signal Predistorter Through Dual Reinforcement Learning
1996
Patrick Goetz, Shailesh Kumar and Risto Miikkulainen, In
Machine Learning: Proceedings of the 13th Annual Conference (Bari, Italy)
, Lorenza Saitta (Eds.), pp. 175-181 1996. San Francisco, CA: Morgan Kaufmann.
Discovering Complex Othello Strategies Through Evolutionary Neural Networks
1995
David E. Moriarty and Risto Miikkulainen,
Connection Science
, Vol. 7 (1995), pp. 195--209.
Laterally Interconnected Self-Organizing Feature Map In Handwritten Digit Recognition
1995
Yoonsuck Choe, Masters Thesis, Department of Computer Sciences, The University of Texas at Austin. 65. Technical Report AI95-236.
Learning Sequential Decision Tasks
1995
David E. Moriarty and Risto Miikkulainen, Technical Report AI95-229, Department of Computer Sciences, The University of Texas at Austin.
SARDNET: A Self-Organizing Feature Map For Sequences
1995
Daniel L. James and Risto Miikkulainen, In
Advances in Neural Information Processing Systems 7 (NIPS'94)
, G. Tesauro, D. S. Touretzky, and T. K. Leen (Eds.), pp. 577--584, Denver, CO 1995. Cambridge, MA: MIT Press.
Visualizing High-Dimensional Structure With The Incremental Grid Growing Neural Network
1995
Justine Blackmore and Risto Miikkulainen, In
Machine Learning: Proceedings of the 12th Annual Conference
, Armand Prieditis and Stuart Russell (Eds.), pp. 55-63, Austin, TX 1995. San Francisco, CA: Morgan Kaufmann. 55-63. Technical Repo...
Evolving Neural Networks To Focus Minimax Search
1994
David E. Moriarty and Risto Miikkulainen, In
Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94)
, pp. 1371-1377, Seattle, WA 1994. Cambridge, MA: MIT Press.
Data Rectification Using Recurrent (Elman) Neural Networks
1992
Thomas W. Karjala, David M. Himmelblau and Risto Miikkulainen, In
Proceedings of the International Joint Conference on Neural Networks (IJCNN-92)
, Vol. II, pp. 901--906, Baltimore, MD 1992. Piscataway, NJ: IEEE.
Projects
A Predictive Simulation Model of Competitive Dynamics in Innovation
2009 - 2013
The OpenNERO AI Research and Education Platform
2009 - Present
Learning Strategic Behavior in Sequential Decision Tasks
2009 - 2014
Borg: A General-Purpose Algorithm Portfolio System
2009 - 2013
Human-like Bots in Unreal Tournament
2008 - 2012
NEAT: Evolving Vehicle Warning Systems
2004 - 2006
Controlling a Finless Rocket Through Neuroevolution
2002 - 2003
Intrusion Detection
1998 - 1998
Data Rectification for Process Control
1992 - 1992
Software/Data
ContextSkillDrift
Download on GitHub
.
A gas classifier using an explicit conte...
2021
BBMS
BBMS is software for Brian Boyles's Masters thesis on evolving scout agents for military simulations. It includes a simu...
2015
MARLEDA
Markovian Learning Estimation of Distribution Algorithm (MARLEDA) is an Estimation of Distribution Algorithm (EDA) that ...
2013
mMARLEDA
The mMarleda package extends the
MARLEDA
software to multiobjective optim...
2013
Borg
The borg project
includes a practical algorithm...
2011
MIR Sentence Processing Package
The MIR Sentence Processing package contains the C source code for the MIR system, as well as a selection of scripts wi...
1998
FGREPNET
The FGREPNET package contains the C-code and data for training and testing an FGREP network in developing distributed re...
1994
PROC
The PROC package contains the C-code and data for training and testing the story processing modules of the DISCERN syste...
1994
SPEC
The SPEC package contains the C-code and data for training and testing the SPEC system for processing complex sentences ...
1994
Demos
Multimodal Behavior in Isolated Ms. Pac-Man
Jacob Schrum
2015
Multimodal Behavior in Imprison Ms. Pac-Man
Jacob Schrum
2014
UT^2: Winner of 2012 BotPrize in Unreal Tournament 2004
Jacob Schrum, Igor Karpov
2012
Model-Based Visualization of Solver Performance Data
Bryan Silverthorn
2011
Evolving Vehicle Warning Systems
Nate Kohl
2006
Finless Rocket Control
Faustino Gomez
2003
Labs
Neural Networks