Applications
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Much of our work on applications involves neuroevolution of behavior in real-world domains such as control, robotics, game playing, and artificial life, but also design and optimization of wavelets, sorting networks, musical score, proofs, and resource allocations. Other areas include reinforcement learning in robotics, packet routing, and satellite communication, unsupervised learning for pattern recognition and visualization, and supervised learning for applicant evaluation, intrusion detection, and process control.
     [Expand to show all 133][Minimize]
Evolving Multimodal Behavior With Modular Neural Networks in Ms. Pac-Man Jacob Schrum and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), 325--332,... 2014

Evolving Multimodal Behavior Through Subtask and Switch Neural Networks Xun Li, Risto Miikkulainen To Appear In Proceedings of The Fourteenth International Conference on the Synthesis and Simulati... 2014

Adapting Morphology to Multiple Tasks in Evolved Virtual Creatures Dan Lessin, Don Fussell, Risto Miikkulainen To Appear In Proceedings of The Fourteenth International Conference on the Synthesis and Simulati... 2014

Evolving Multimodal Behavior Through Modular Multiobjective Neuroevolution Jacob Schrum PhD Thesis, The University of Texas at Austin, Austin, TX 78712, May 2014. Tech Report TR-14-07. 2014

Trading Control Intelligence for Physical Intelligence: Muscle Drives in Evolved Virtual Creatures Dan Lessin, Don Fussell, Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2014,... 2014

GRADE: Machine Learning Support for Graduate Admissions Austin Waters, Risto Miikkulainen To Appear In AI Magazine, 2014. 2014

Open-Ended Behavioral Complexity for Evolved Virtual Creatures Dan Lessin, Don Fussell, Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2013, 2013. 2013

GRADE: Machine Learning Support for Graduate Admissions Austin Waters, Risto Miikkulainen In Proceedings of the 25th Conference on Innovative Applications of Artificial Intelligence, ... 2013

Extended Scaled Neural Predictor for Improved Branch Prediction Zihao Zhou, Mayank Kejriwal and Risto Miikkulainen In Proceedings of the International Joint Conference on Neural Networks, 2013. IEEE. 2013

Architecture of a Cyberphysical Avatar Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Quan Leng, Xiuming Zhu, Luis S... In Proceedings of the ACM/IEEE Fourth International Conference on Cyber-Physical Systems (ICCPS-2... 2013

IJCNN-2013 Tutorial on Evolution of Neural Networks Risto Miikkulainen To Appear In 2013. Tutorial slides.. 2013

Effective Diversity Maintenance in Deceptive Domains Joel Lehman, Kenneth O. Stanley and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2013,... 2013

Using Symmetry and Evolutionary Search to Minimize Sorting Networks Vinod K. Valsalam and Risto Miikkulainen Journal of Machine Learning Research, 14(Feb):303--331, 2013. 2013

Evolving Multimodal Networks for Multitask Games Jacob Schrum and Risto Miikkulainen IEEE Transactions on Computational Intelligence and AI in Games, 4(2):94--111, June 2012. IEE... 2012

General-Purpose Optimization Through Information-Maximization Alan J Lockett PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 2012. Tech Report AI... 2012

Architecture of a Cyberphysical Avatar Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Xiuming Zhu, Luis Sentis, Kan ... In Proceedings of the International Workshop on Real-Time and Distributed Computing in Emerging A... 2012

Constructing Controllers for Physical Multilegged Robots using the ENSO Neuroevolution Approach Vinod K. Valsalam, Jonathan Hiller, Robert MacCurdy, Hod Lipson and Risto Miikkulainen Evolutionary Intelligence, 5(1):1--12, 2012. 2012

Surviving Solver Sensitivity: An ASP Practitioner's Guide Bryan Silverthorn, Yuliya Lierler and Marius Schneider In International Conference on Logic Programming (ICLP), 2012. 2012

Accelerating Evolution via Egalitarian Social Learning Wesley Tansey, Eliana Feasley, and Risto Miikkulainen In Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO 2012) 2012

Task decomposition with neuroevolution in extended predator-prey domain Ashish Jain, Anand Subramoney, Risto Miikkulainen In Proceedings of Thirteenth International Conference on the Synthesis and Simulation of Living S... 2012

Evolution of a Communication Code in Cooperative Tasks Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen and Kay Holekamp In Artificial Life (13th International Conference on the Synthesis and Simulation of Living Syste... 2012

Believable Bot Navigation via Playback of Human Traces Igor V. Karpov, Jacob Schrum, Risto Miikkulainen In Philip F. Hingston, editors, Believable Bots, 151--170, 2012. Springer Berlin Heidelberg. 2012

Humanlike Combat Behavior via Multiobjective Neuroevolution Jacob Schrum, Igor V. Karpov and Risto Miikkulainen In Philip F. Hingston, editors, Believable Bots, 119--150, 2012. Springer Berlin Heidelberg. 2012

HyperNEAT-GGP: A HyperNEAT-based Atari General Game Player Matthew Hausknecht, Piyush Khandelwal, Risto Miikkulainen, Peter Stone In Genetic and Evolutionary Computation Conference (GECCO) 2012, 2012. 2012

Evaluation Methods for Active Human-Guided Neuroevolution in Games Igor Karpov, Leif Johnson, Vinod Valsalam and Risto Miikkulainen In 2012 AAAI Fall Symposium on Robots Learning Interactively from Human Teachers (RLIHT), Nov... 2012

Evaluating Modular Neuroevolution in Robotic Keepaway Soccer Anand Subramoney Masters Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX, 2012.... 2012

A Probabilistic Architecture for Algorithm Portfolios Bryan Silverthorn PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2012. 2012

Multiagent Learning through Neuroevolution Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, an... In J. Liu et al., editors, Advances in Computational Intelligence, LNCS 7311, 24-46, Berlin, ... 2012

Creating Intelligent Agents through Shaping of Coevolution Adam Dziuk Technical Report HR-11-01, Department of Computer Science, The University of Texas at Austin, 2011. 2011

The Role of Reward Structure, Coordination Mechanism and Net Return in the Evolution of Cooperation Padmini Rajagopalan, Aditya Rawal, Risto Miikkulainen, Marc A. Wiseman and Kay E. Holekamp In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), Seo... 2011

UT^2: Human-like Behavior via Neuroevolution of Combat Behavior and Replay of Human Traces Jacob Schrum, Igor V. Karpov and Risto Miikkulainen New Orleans, LA, June 2011. Extended Abstract for the Human-like Bot Workshop at the IEEE Congress o... 2011

Assisting Machine Learning Through Shaping, Advice and Examples Igor Karpov, Vinod Valsalam and Risto Miikkulainen In 2011 IJCAI Workshop on Agents Learning Interactively from Human Teachers (ALIHT), July 201... 2011

Evolving Multimodal Networks for Multitask Games Jacob Schrum and Risto Miikkulainen In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), 102... 2011

Evolving Symmetry for Modular System Design Vinod K. Valsalam and Risto Miikkulainen IEEE Transactions on Evolutionary Computation, 15(3):368--386, 2011. 2011

Utilizing Symmetry and Evolutionary Search to Minimize Sorting Networks Vinod K. Valsalam and Risto Miikkulainen Technical Report AITR-11-09, Department of Computer Sciences, The University of Texas at Austin, Aus... 2011

UT^2: Human-like Behavior via Neuroevolution of Combat Behavior and Replay of Human Traces Jacob Schrum, Igor V. Karpov and Risto Miikkulainen In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), 329... 2011

Learning Geometry from Sensorimotor Experience Jeremy Stober, Risto Miikkulainen, and Benjamin Kuipers In Proceedings of the First International Conference on Development and Learning and Epigenetic R... 2011

Human-Assisted Neuroevolution Through Shaping, Advice and Examples Igor V. Karpov, Vinod K. Valsalam and Risto Miikkulainen In Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference (GECCO 2011) 2011

Learning Polarity from Structure in SAT Bryan Silverthorn and Risto Miikkulainen In Theory and Applications of Satisfiability Testing (SAT), 2011. (extended abstract). 2011

Creating Intelligent Agents through Shaping of Coevolution Adam Dziuk and Risto Miikkulainen In Proceedings of the Congress on Evolutionary Computation, New Orleans, LA, 2011. IEEE. 2011

Hierarchical Neural Networks for Behavior-Based Decision Making David Robson Technical Report HR-10-02, Department of Computer Science, The University of Texas at Austin, 2010. 2010

An Analysis of Distributed Decision Making Methodologies in Role Playing Video Games Matthew Johnston Technical Report HR-10-09, Department of Computer Science, The University of Texas at Austin, 2010. 2010

An Analysis of Automated Decision Making Methodologies in Role Playing Video Games: Centralized Approach Christopher Bush Technical Report HR-10-03, Department of Computer Science, The University of Texas at Austin, 2010. 2010

Latent Class Models for Algorithm Portfolio Methods Bryan Silverthorn and Risto Miikkulainen In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010. 2010

Constructing Competitive and Cooperative Agent Behavior Using Coevolution Aditya Rawal, Padmini Rajagopalan and Risto Miikkulainen In IEEE Conference on Computational Intelligence and Games (CIG 2010), Copenhagen, Denmark, A... 2010

Utilizing Symmetry in Evolutionary Design Vinod Valsalam PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2010. Te... 2010

Coevolution of Role-Based Cooperation in Multi-Agent Systems Chern Han Yong and Risto Miikkulainen IEEE Transactions on Autonomous Mental Development, 1:170--186, 2010. 2010

Evolving Adaptive Intelligence: Using NeuroEvolution with Temporal Difference Methods in the Game Domain Nathaniel Tucker Technical Report HR-09-04, Department of Computer Science, The University of Texas at Austin., 2009. 2009

The Necessity of Separating Control and Logic When Grounding Language Using Neuroevolution Yonatan Bisk Technical Report HR-09-05, Department of Computer Sciences, The University of Texas at Austin, 2009. 2009

Temporal Convolution Machines for Sequence Learning Alan J Lockett and Risto Miikkulainen Technical Report AI-09-04, Department of Computer Sciences, the University of Texas at Austin, 2009. 2009

Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution Thomas D'Silva, Risto Miikkulainen Neural Processing Letters, 2009. 2009

Evolving Symmetric and Modular Neural Networks for Distributed Control Vinod K. Valsalam and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 731--738, 200... 2009

Evolving Symmetric and Modular Neural Network Controllers for Multilegged Robots Vinod K. Valsalam and Risto Miikkulainen In xploring New Horizons in Evolutionary Design of Robots: Workshop at the 2009 IEEE/RSJ Internat... 2009

Evolving Opponent Models for Texas Hold 'Em Alan J Lockett and Risto Miikkulainen In IEEE Conference on Computational Intelligence in Games, Perth, Australia, 2008. 2008

Accelerated Neural Evolution through Cooperatively Coevolved Synapses Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen Journal of Machine Learning Research:937-965, 2008. 2008

Evolving Controllers for Simulated Car Racing using Neuroevolution Aravind Gowrisankar Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX/US, 2... 2008

Transfer of Evolved Pattern-Based Heuristics in Games Erkin Bahceci and Risto Miikkulainen In IEEE Symposium On Computational Intelligence and Games (CIG 2008), 220-227, Perth, Austral... 2008

Coevolving Strategies for General Game Playing Joseph Reisinger, Erkin Bahceci, Igor Karpov and Risto Miikkulainen In Proceedings of the {IEEE} Symposium on Computational Intelligence and Games, 320-327, Pis... 2007

Detecting Motion in the Environment with a Moving Quadruped Robot Peggy Fidelman, Thayne Coffman and Risto Miikkulainen In Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi, editors, Ro... 2007

Acquiring Evolvability through Adaptive Representations Joseph Reisinger and Risto Miikkulainen In Proceeedings of the Genetic and Evolutionary Computation Conference, 1045-1052, 2007. 2007

Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution Bobby D. Bryant and Risto Miikkulainen In Proceedings of the Twenty-Second National Conference on Artificial Intelligence, Menlo Par... 2007

Self-Organizing Distinctive State Abstraction Using Options Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen In Proceedings of the 7th International Conference on Epigenetic Robotics, 2007. 2007

Reinforcement Learning in High-Diameter, Continuous Environments Jefferson Provost PhD Thesis, Computer Sciences Department, University of Texas at Austin, Austin, TX, 2007. 2007

Computational Intelligence in Games Risto Miikkulainen, Bobby D. Bryant, Ryan Cornelius, Igor V. Karpov, Kenneth O. Stanley, and Chern H... In Gary Y. Yen and David B. Fogel, editors, Computational Intelligence: Principles and Practice<... 2006

Bootstrap learning of foundational representations Bootstrap learning of foundational representations %RefShort% 2006

Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents Bobby D. Bryant and Risto Miikkulainen In Sushil M. Louis and Graham Kendall, editors, Proceedings of the {IEEE} Symposium on Computatio... 2006

Evolving Stochastic Controller Networks for Intelligent Game Agents Bobby D. Bryant and Risto Miikkulainen In Proceedings of the 2006 Congress on Evolutionary Computation, Piscataway, NJ, 2006. IEEE. 2006

Integration and Evaluation of Exploration-Based Learning in Games Igor V. Karpov, Thomas D'Silva, Craig Varrichio, Kenneth O. Stanley, Risto Miikkulainen In Proceedings of the {IEEE} Symposium on Computational Intelligence and Games, Reno, NV, 20... 2006

Coevolution of Neural Networks using a Layered Pareto Archive German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 329-336, Seattle, Wash... 2006

Efficient Non-Linear Control through Neuroevolution Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen In Proceedings of the European Conference on Machine Learning, 654-662, Berlin, 2006. Springe... 2006

Evolving Visibly Intelligent Behavior for Embedded Game Agents Bobby D. Bryant PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 2006. Technical Repo... 2006

Creating Intelligent Agents in Games Risto Miikkulainen The Bridge:5-13, 2006. 2006

Developing navigation behavior through self-organizing distinctive state abstraction Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen Connection Science, 18:159-172, 2006. 2006

Evolving Robot Arm Controllers Using the NEAT Neuroevolution Method Thomas W. D'Silva Masters Thesis, Department of Electrical and Computer Engineering, The University of Texas at Austin... 2006

Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution Yiu Fai Sit and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005

Evolving Neural Network Ensembles for Control Problems David Pardoe, Michael Ryoo, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005

Real-time Neuroevolution in the NERO Video Game Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen IEEE Transactions on Evolutionary Computation:653-668, 2005. IEEE. 2005

Neuroevolution of an Automobile Crash Warning System Kenneth Stanley, Nate Kohl, Rini Sherony, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005

Retaining Learned Behavior During Real-Time Neuroevolution Thomas D'Silva, Roy Janik, Michael Chrien, Kenneth O. Stanley and Risto Miikkulainen Artificial Intelligence and Interactive Digital Entertainment, 2005. American Association for... 2005

Effective Image Compression Using Evolved Wavelets Uli Grasemann and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005

Real-Time Learning in the NERO Video Game Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen, Thomas D'Silva, and Aliza Gold In Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference (A... 2005

Evolving Keepaway Soccer Players through Task Decomposition Shimon Whiteson and Nate Kohl and Risto Miikkulainen and Peter Stone Machine Learning, 59(1):5-30, May 2005. 2005

Coevolution of Neural Networks Using a Layered Pareto Archive German A. Monroy Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2005... 2005

Evolving Neural Network Agents in the NERO Video Game Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen In Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05), P... 2005

Incorporating Advice into Evolution of Neural Networks Chern Han Yong, Kenneth O. Stanley, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2005), 2005. Lat... 2005

Academic AI and Video Games: A Case Study of Incorporating Innovative Academic Research into a Video Game Prototype Aliza Gold In Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05), 2... 2005

Evolving a Roving Eye for Go Kenneth O. Stanley and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), Berlin, 2... 2004

Transfer of Neuroevolved Controllers in Unstable Domains Faustino J. Gomez and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, Berlin, 2004. Springer... 2004

Self-Organizing Perceptual and Temporal Abstraction for Robot Reinforcement Learning Jefferson Provost, Benjamin J. Kuipers and Risto Miikkulainen In AAAI-04 Workshop on Learning and Planning in Markov Processes, 2004. 2004

Efficient Evolution of Neural Networks Through Complexification Kenneth O. Stanley PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 2004. 2004

The Constructivist Learning Architecture: A Model of Cognitive Development for Robust Autonomous Robots Harold H. Chaput PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, August 2004. Also Te... 2004

A Neurocontrol Paradigm for Intelligent Process Control using Evolutionary Reinforcement Learning Alex van Eck Conradie PhD Thesis, Department of Chemical Engineering, University of Stellenbosch, 2004. 2004

Neuroevolution for Adaptive Teams Bobby D. Bryant and Risto Miikkulainen In Proceedings of the 2003 Congress on Evolutionary Computation (CEC 2003), 2194-2201, Pisca... 2003

Robust Non-Linear Control through Neuroevolution Faustino J. Gomez PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 2003. 2003

Active Guidance for a Finless Rocket Using Neuroevolution Faustino J. Gomez and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2084-2095, San Francis... 2003

PhD Thesis: Robust Non-Linear Control through Neuroevolution Faustino J. Gomez Technical Report AI-TR-03-303, Department of Computer Sciences, University of Texas at Austin, Augus... 2003

Incremental Nonmonotonic Parsing through Semantic Self-Organization Marshall R. Mayberry III PhD Thesis, Department of Computer Sciences, the University of Texas at Austin, Austin, TX, 2003. Te... 2003

Constructivist Learning: A Neural Implementation of the Schema Mechanism Harold H. Chaput, Benjamin Kuipers and Risto Miikkulainen In Proceedings of WSOM '03: Workshop for Self-Organizing Maps, Kitakyushu, Japan, 2003. 2003

Neuroevolution through Augmenting Topologies Applied to Evolving Neural Networks to Play Othello Timothy Andersen Technical Report HR-02-01, Department of Computer Sciences, The University of Texas at Austin, 2002. 2002

Intelligent Process Control Utilizing Symbiotic Memetic Neuro-Evolution Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich In Proceedings of the 2002 Congress on Evolutionary Computation, 6, 2002. 2002

Adaptive Control Utilising Neural Swarming Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich In William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and... 2002

Numerical Optimization With Neuroevolution Brian Greer, Henri Hakonen, Risto Lahdelma, and Risto Miikkulainen In Proceedings of the 2002 Congress on Evolutionary Computation, 361-401, Piscataway, NJ, 20... 2002

Applying ESP And Region Specialists To Neuro-Evolution For Go Andres Santiago Perez-Bergquist Technical Report TR-01-24, Department of Computer Science, University of Texas at Austin, 2001. 2001

Numerical Optimization with Neuroevolution Brian Greer Technical Report TR-01-49, Department of Computer Science, The University of Texas at Austin, 2001. 2001

Creating Melodies With Evolving Recurrent Neural Networks Chun-Chi J. Chen and Risto Miikkulainen In Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks, 2241-22... 2001

A Neuroevolution Method For Dynamic Resource Allocation On A Chip Multiprocessor Faustino J. Gomez, Doug Burger, and Risto Miikkulainen In Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks, 2355-23... 2001

Co-Evolving A Go-Playing Neural Network Alex Lubberts and Risto Miikkulainen In Coevolution: {T}urning Adaptive Algorithms Upon Themselves, Birds-of-a-Feather Workshop, Gene... 2001

Toward Learning the Causal Layer of the Spatial Semantic Hierarchy using SOMs Jefferson Provost, Patrick Beeson, and Benjamin J. Kuipers In AAAI Spring Symposium Series, Learning Grounded Representations, 2001. 2001

Automatic Music Composition using Genetic Algorithm and Neural Networks: A Constrained Evolution Approach Chun-Chi Chen Technical Report HR-00-02, Department of Computer Sciences, The University of Texas at Austin, 2000. 2000

Online Interactive Neuro-Evolution Adrian Agogino, Kenneth O. Stanley, and Risto Miikkulainen Neural Processing Letters:29-38, 2000. 2000

Neuro-Evolution And Natural Deduction Nirav S. Desai and Risto Miikkulainen In Proceedings of The First {IEEE} Symposium on Combinations of Evolutionary Computation and Neu... 2000

Confidence Based Dual Reinforcement Q-Routing: An Adaptive On-Line Routing Algorithm Shailesh Kumar and Risto Miikkulainen In 16th International Joint Conference on Artificial Intelligence (IJCAI-99), 758--763, Stock... 1999

Evolving Hierarchical Neural Networks to Play Go Todd Greer Technical Report HR-94-01, Department of Computer Science, The University of Texas at Austin, 1998. 1998

Hierarchical Evolution Of Neural Networks David E. Moriarty and Risto Miikkulainen In Proceedings of the 1998 IEEE Conference on Evolutionary Computation (ICEC98), 428-433, Anc... 1998

Evolving Neural Networks To Play Go Norman Richards, David Moriarty, and Risto Miikkulainen In Thomas B{"a}ck, editors, Proceedings of the Seventh International Conference on Genetic Algori... 1998

Intrusion Detection With Neural Networks Jake Ryan, Meng-Jang Lin, and Risto Miikkulainen In Michael I. Jordan and Michael J. Kearns and Sara A. Solla, editors, Advances in Neural Informa... 1998

Confidence Based Q-Routing: An On-Line Adaptive Network Routing Algorithm Shailesh Kumar and Risto Miikkulainen C. H. Dagli and M. Akay and O. Ersoy and B. R. Fernandez and A. Smith, editors, Smart Engineering... 1998

Confidence Based Dual Reinforcement Q-Routing: An On-Line Adaptive Network Routing Algorithm Shailesh Kumar Masters Thesis, Department of Computer Sciences, the University of Texas at Austin., May 1998. 108. ... 1998

Symbiotic Evolution Of Neural Networks In Sequential Decision Tasks David E. Moriarty PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 1997. 117. Technical... 1997

Dual Reinforcement Q-Routing: An On-Line Adaptive Routing Algorithm Shailesh Kumar and Risto Miikkulainen C. H. Dagli, M. Akay, O. Ersoy, B. R. Fernandez and A. Smith, editors, Smart Engineering Systems:... 1997

Forming Neural Networks Through Efficient And Adaptive Coevolution David E. Moriarty and Risto Miikkulainen Evolutionary Computation, 5:373--399, 1997. 1997

Laterally Interconnected Self-Organizing Maps In Hand-Written Digit Recognition Yoonsuck Choe, Joseph Sirosh, and Risto Miikkulainen In David S. Touretzky and Michael C. Mozer and Michael E. Hasselmo, editors, Advances in Neural ... 1996

On-Line Adaptation Of A Signal Predistorter Through Dual Reinforcement Learning Patrick Goetz, Shailesh Kumar and Risto Miikkulainen In Lorenza Saitta, editors, Machine Learning: Proceedings of the 13th Annual Conference (Bari, It... 1996

Evolving Obstacle Avoidance Behavior In A Robot Arm David E. Moriarty and Risto Miikkulainen In Pattie Maes and Maja J. Mataric and Jean-Arcady Meyer and Jordan Pollack and Stewart W. Wilson, ... 1996

Visualizing High-Dimensional Structure With The Incremental Grid Growing Neural Network Justine Blackmore and Risto Miikkulainen In Armand Prieditis and Stuart Russell, editors, Machine Learning: Proceedings of the 12th Annual... 1995

Laterally Interconnected Self-Organizing Feature Map In Handwritten Digit Recognition Yoonsuck Choe Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 1995... 1995

Learning Sequential Decision Tasks David E. Moriarty and Risto Miikkulainen Technical Report AI95-229, Department of Computer Sciences, The University of Texas at Austin, 1995. 1995

SARDNET: A Self-Organizing Feature Map For Sequences Daniel L. James and Risto Miikkulainen In G. Tesauro, D. S. Touretzky, and T. K. Leen, editors, Advances in Neural Information Processin... 1995

Discovering Complex Othello Strategies Through Evolutionary Neural Networks David E. Moriarty and Risto Miikkulainen Connection Science, 7:195--209, 1995. 1995

Grounding Robotic Control With Genetic Neural Networks Diane Law and Risto Miikkulainen Technical Report AI94-223, Department of Computer Sciences, The University of Texas at Austin, 1994. 1994

Evolving Neural Networks To Focus Minimax Search David E. Moriarty and Risto Miikkulainen In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), 1371-... 1994

Data Rectification Using Recurrent (Elman) Neural Networks Thomas W. Karjala, David M. Himmelblau and Risto Miikkulainen In Proceedings of the International Joint Conference on Neural Networks (IJCNN-92), II, 901--... 1992

Evolving Finite State Behavior using Marker-Based Genetic Encoding of Neural Networks Brad Fullmer Technical Report HR-91-01, Department of Computer Science, The University of Texas at Austin, 1991. 1991

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Adrian Agogino Former Collaborator adrian k agogino [at] nasa gov
Matthew Alden Ph.D. Alumni mealden [at] uw edu
Timothy D. Andersen Undergraduate Alumni andert [at] alum rpi edu
Julian Bishop Ph.D. Student julian [at] cs utexas edu
Yonatan Bisk Undergraduate Alumni ybisk [at] yo-tech com
Justine Blackmore Masters Alumni jblackmorehlista [at] yahoo com
Joseph Bruce Former Ph.D. Student
Bobby D. Bryant Ph.D. Alumni bdbryant [at] cse unr edu
Chris Bush Undergraduate Alumni
Li-Chiu Chang Former Visitor changlc [at] mail tku edu tw
Harold H. Chaput Ph.D. Alumni hchaput [at] ea com
Chun-Chi Chen Undergraduate Alumni
Alex van Eck Conradie Former Visitor
Ryan Cornelius Undergraduate Alumni
James Craver Undergraduate Alumni
Thomas D'Silva Masters Alumni twdsilva [at] gmail com
Matthew de Wet Undergraduate Alumni
Adam C. Dziuk Undergraduate Alumni
Eliana Feasley Former Ph.D. Student elie [at] cs utexas edu
Peggy Fidelman Former Ph.D. Student
Brad Fullmer Undergraduate Alumni
Aliza Gold Former Collaborator
Faustino Gomez Postdoctoral Alumni tino [at] idsia ch
Aravind Gowrisankar Masters Alumni
Uli Grasemann Postdoctoral Alumni uli [at] cs utexas edu
Brian Greer Undergraduate Alumni
Todd Greer Undergraduate Alumni
Kay E. Holekamp Collaborator holekamp [at] msu edu
Matthew Johnston Undergraduate Alumni
Igor V. Karpov Ph.D. Student ikarpov [at] gmail com
Nate Kohl Ph.D. Alumni nate [at] natekohl net
Shailesh Kumar Masters Alumni
Joel Lehman Postdoctoral Fellow joel [at] cs utexas edu
Dan Lessin Ph.D. Student dlessin [at] cs utexas edu
Xun Li Ph.D. Student xun bhsfer [at] cs utexas edu
Alex Lubberts Former Visitor
Risto Miikkulainen Faculty risto [at] cs utexas edu
Mark Moll Former Visitor "last name" at isi edu
German Monroy Masters Alumni gmonroy [at] cs utexas edu
David E. Moriarty Ph.D. Alumni moriarty [at] alumni utexas net
Andres Santiago Perez-Bergquist Undergraduate Alumni aspb [at] mapache org
Daniel Polani Postdoctoral Alumni d polani [at] herts ac uk
Jefferson Provost Ph.D. Alumni jefferson provost [at] gmail com
Padmini Rajagopalan Ph.D. Student padmini [at] cs utexas edu
Aditya Rawal Ph.D. Student aditya [at] cs utexas edu
Joseph Reisinger Former Ph.D. Student joeraii [at] cs utexas edu
Norman Richards Undergraduate Alumni orb [at] toki dhs org
Jake Ryan Undergraduate Alumni
Jacob Schrum Ph.D. Alumni schrum2 [at] cs utexas edu
Rini Sherony Former 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
Yiu Fai Sit Ph.D. Alumni yfsit [at] cs utexas edu
Kenneth Stanley Postdoctoral Alumni kstanley [at] cs ucf edu
Jeremy Stober Ph.D. Student stober [at] cs utexas edu
Anand Subramoney Masters Alumni anands [at] cs utexas edu
Wesley Tansey Ph.D. Student tansey [at] cs utexas edu
Vinod Valsalam Ph.D. Alumni vkv [at] alumni utexas net
Shimon Whiteson Former Collaborator s a whiteson [at] uva nl
Chern Han Yong Masters Alumni cherny [at] nus edu sg
     [Expand to show all 22][Minimize]
Adapting Morphology to Multiple Tasks in Evolved Virtual Creatures Dan Lessin, Don Fussell, Risto Miikkulainen 2014
Multimodal Behavior in Imprison Ms. Pac-Man Jacob Schrum 2014
Multimodal Behavior in Multiple Lives Ms. Pac-Man Jacob Schrum 2014
Multimodal Behavior in One Life Ms. Pac-Man Jacob Schrum 2014
Trading Control Intelligence for Physical Intelligence: Muscle Drives in Evolved Virtual Creatures Dan Lessin, Don Fussell, Risto Miikkulainen 2014
Open-Ended Behavioral Complexity for Evolved Virtual Creatures Dan Lessin, Don Fussell, Risto Miikkulainen 2013
Cooperation to Overcome a More Powerful Adversary Kay Holekamp 2012
Egalitarian Social Learning (ESL) in Robot Foraging Wesley Tansey 2012
Evolution of a Communication Code in Cooperative Tasks Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen, Kay Holekamp 2012
UT^2: Winner of 2012 BotPrize in Unreal Tournament 2004 Jacob Schrum, Igor Karpov 2012
Evolving Controllers for Physical Multilegged Robots Vinod Valsalam 2011
Model-Based Visualization of Solver Performance Data Bryan Silverthorn 2011
Multi-modal Approaches to Evolving Behavior for Multi-task Games Jacob Schrum 2011
The Role of Reward Structure, Coordination Mechanism and Net Return in the Evolution of Cooperation Padmini Rajagopalan, Aditya Rawal 2011
Emergence of Competitive and Cooperative Behavior and Arms Race Through Coevolution Aditya Rawal, Padmini Rajagopalan 2010
Evolving Controller Symmetry for Multilegged Robots Vinod Valsalam 2010
Modular Neuroevolution for Multilegged Locomotion Vinod Valsalam 2008
Evolving Cooperation in Multiagent Systems Chern Yong 2007
Neuro-Evolving Robotic Operatives (NERO) Kenneth Stanley 2007
Adaptive Teams of Agents in the Legion II game Bobby Bryant 2006
Evolving Vehicle Warning Systems Nate Kohl 2006
Finless Rocket Control Faustino Gomez 2003
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MM-NEAT Modular Multiobjective NEAT is a software framework in Java that builds on the basic principles of 2014

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

UT^2: Winning Botprize 2012 Entry The Botprize Competition is an annual competition to program bots that appear human-l... 2012

Borg

The borg project includes a practical algorithm...

2011

BREVE Monsters BREVE is a system for designing Artificial Life simulations available at http://spiderlan... 2010

ENSO This package contains software implementing the ENSO approach for evolving symmetric modular neural networks. It also in... 2010

NEAT C++ The NEAT package contains source code implementing the NeuroEvolution of Augmenting Topologies method. The source code i... 2010

OpenNERO OpenNERO is a general research and education platform for artificial intelligence. The platform is based on a simulatio... 2010

NEAT Delphi The Delphi NEAT package contains Delphi source code for the NeuroEvolution of Augmenting Topologies method (see the orig... 2003

NEAT Matlab The Matlab NEAT package contains Matlab source code for the NeuroEvolution of Augmenting Topologies method (see the orig... 2003

ESP JAVA 1.1 The ESP package contains the source code for the Enforced Sup-Populations system written in Java. This package is a near... 2002

NEAT C++ for Microsoft Windows The Windows NEAT package contains C++ source code for the NeuroEvolution of Augmenting Topologies method (see the origin... 2002

NEAT Java (JNEAT) The JNEAT package contains Java source code for the NeuroEvolution of Augmenting Topologies method (see the original 2002

ESP C++ The ESP package contains the source code for the Enforced Sup-Populations system written in C++. ESP is an extension t... 2000

JavaSANE The JavaSANE package contains the source code for the Hierarchical SANE system, based on SANE-C, but rewritten extensive... 1998

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

SANE-C The SANE-C package contains the source code for the Hierarchical SANE system, written in C. This package has been rewrit... 1997

Polebalancing This simulator contains the code used to compare (neuron-level) SANE to one- and two-layer adaptive heuristic critics in... 1995

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