neural networks research group
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Search results for neuroevolution
People
     [Expand to show all 33][Minimize]
Risto Miikkulainen Faculty risto [at] cs utexas edu
Bobby D. Bryant Ph.D. Alumni bdbryant [at] cse unr edu
Faustino Gomez Postdoctoral Alumni tino [at] idsia ch
Nate Kohl Ph.D. Alumni nate [at] natekohl net
Chun-Chi Chen Undergraduate Alumni
Alex van Eck Conradie Former Visitor
Timothy D. Andersen Undergraduate Alumni andert [at] alum rpi edu
Brian Greer Undergraduate Alumni
Todd Greer Undergraduate Alumni
Igor V. Karpov Masters Alumni ikarpov [at] gmail com
Adrian Agogino Former Collaborator adrian k agogino [at] nasa gov
Ryan Cornelius Undergraduate Alumni
Brad Fullmer Undergraduate Alumni
Kay E. Holekamp Former Collaborator holekamp [at] msu edu
Nabil M. Hewahi Former Visitor nhewahi [at] iugaza edu ps
Padmini Rajagopalan Postdoctoral Alumni padminir [at] utexas edu
Shimon Whiteson Former Collaborator s a whiteson [at] uva nl
Eliana Feasley Former Ph.D. Student elie [at] cs utexas edu
Joel Lehman Postdoctoral Alumni joel [at] cs utexas edu
Rini Sherony Former Collaborator rini sherony [at] tema toyota com
Anand Subramoney Masters Alumni anands [at] cs utexas edu
Matthew de Wet Undergraduate Alumni
Chris Bush Undergraduate Alumni
Matthew Johnston Undergraduate Alumni
Nathaniel Tucker Undergraduate Alumni
James Craver Undergraduate Alumni
Xun Li Ph.D. Alumni xun bhsfer [at] cs utexas edu
Jason Zhi Liang Ph.D. Alumni jasonzliang [at] utexas edu
Brian D. Boyles Masters Alumni bboyles [at] utexas edu
Cem C Tutum Former Research Scientist tutum [at] cs utexas edu
Reza Mahjourian Ph.D. Alumni reza [at] cs utexas edu
Xiruo Wang Masters Alumni kevinxrwang [at] utexas edu
Kevin Xu Undergraduate Student kx [at] utexas edu
Publications
     [Expand to show all 117][Minimize]
Discovering Effective Policies for Land-Use Planning with Neuroevolution Daniel Young, Olivier Francon, Elliot Meyerson, Clemens Schwingshackl, Jacob Bieker, Hugo Cunha, Babak Hodjat, and Risto Miikkulainen Environmental Data Science, 4:e30, 2025. 2025
Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management Ashok Khanna, Olivier Francon, and Risto Miikkulainen In Proceedings of the IJCAI workshop on Advanced Neural Systems for Next-Generation Biomedical In... 2025
Neuroevolution Insights Into Biological Neural Computation Risto Miikkulainen Science, 387:eadp7478, 2025. 2025
Neuroevolution: Harnessing Creativity in AI Agent Design Sebastian Risi, Yujin Tang, David Ha, and Risto Miikkulainen , Cambridge, MA, 2025. MIT Press. 2025
Evolutionary Policy Optimization Zelal Su "Lain" Mustafaoglu, Keshav Pingali, Risto Miikkulainen arxiv:2504.12568, 2025. 2025
Neuroevolution Tutorial Risto Miikkulainen et al. 2024. 2024
Evolving Deep Neural Networks Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, Babak Hodjat To Appear In R. Kozma, C. Alippi, Y. Choe, and F. Morabito, editors, Artificial Intelligence in t... 2023
Neuroevolution Risto Miikkulainen In Dinh Phung, Claude Sammut and Geoffrey I. Webb, editors, Encyclopedia of Machine Learning and ... 2022
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings) Elliot Meyerson, Xin Qiu, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 739--748, 2022. 2022
Effective Mutation Rate Adaptation through Group Elite Selection Akarsh Kumar, Bo Liu, Risto Miikkulainen, and Peter Stone In Proceedings of the Genetic and Evolutionary Computation Conference, 2022. (also arXiv:22... 2022
Evaluating Medical Aesthetics Treatments through Evolved Age-Estimation Models 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, 1009–1017, 2021. 2021
Neuroevolution: A Synergy of Evolution and Learning Risto Miikkulainen , 2021. Plenary presentation at the Congress for Evolutionary Computation (CEC'21). 2021
Evolving Deep Neural Networks Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, and Babak Hodjat In Robert Kozma, Cesare Alippi, Yoonsuck Choe, and Francesco Carlo Morabito, editors, Artificial ... 2019
Designing Neural Networks through Evolutionary Algorithms Kenneth O. Stanley, Jeff Clune, Joel Lehman, and Risto Miikkulainen Nature Machine Intelligence, 1:24–35, 2019. 2019
Tradeoffs in Neuroevolutionary Learning-Based Real-Time Robotic Task Design in the Imprecise Computation Framework Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen ACM Transactions on Cyber-Physical Systems, 3, 2019. DOI 0.1145/3178903. 2019
Discovering Gated Recurrent Neural Network Architectures Aditya Rawal PhD Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX 78712, 201... 2018
A Neuroevolutionary Approach to Adaptive Multi-agent Teams Bobby D. Bryant and Risto Miikkulainen In H. A. Abbass and J. Scholz and D. J. Reid, editors, Foundations of Trusted Autonomy, 87-11... 2018
Reuse of Neural Modules for General Video Game Playing Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen To Appear In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), 20... 2016
Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution Jacob Schrum and Risto Miikkulainen Evolutionary Computation, 24(3):459--490, September 2016. MIT Press. 2016
Evolving Deep LSTM-based Memory networks using an Information Maximization Objective Aditya Rawal and Risto Miikkulainen To Appear In Genetic and Evolutionary Computation Conference (GECCO 2016), Colorado, USA, 201... 2016
The Evolution of Coordinated Cooperative Behaviors Padmini Rajagopalan PhD Thesis, Department of Computer Science, University of Texas at Austin, Austin, TX, August 2016. 2016
Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution Jacob Schrum and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), 345--352,... 2015
Evolutionary Bilevel Optimization for Complex Control Tasks Jason Zhi Liang, Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), 871–878... 2015
Evolutionary Bilevel Optimization for Complex Control Problems and Blackbox Function Optimization Jason Zhi Liang Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, Texas, 2... 2015
Evolving Scout Agents for Military Simulations Brian D. Boyles Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 201... 2015
Evolving Strategies for Social Innovation Games Erkin Bahceci, Riitta Katila and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), Madrid, S... 2015
Evaluating team behaviors constructed with human-guided machine learning Igor V. Karpov, Leif M. Johnson and Risto Miikkulainen To Appear In Proceedings of the IEEE Conference on Computational Intelligence in Games, Augus... 2015
On the Cross-Domain Reusability of Neural Modules for General Video Game Playing Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen In IJCAI'15 Workshop on General Intelligence in Game-Playing Agents, 7--14, 2015. 2015
Neuroevolution Risto Miikkulainen In Sammut, C. and Webb, G. I., editors, Encyclopedia of Machine Learning, 2nd Edition, Berlin... 2015
Overcoming Deception in Evolution of Cognitive Behaviors Joel Lehman and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014),... 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
Evolving Multimodal Behavior Through Subtask and Switch Neural Networks Xun Li and Risto Miikkulainen In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Livi... 2014
The Evolution of General Intelligence Padmini Rajagopalan, Kay E. Holekamp and Risto Miikkulainen In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Livi... 2014
General Intelligence through Prolonged Evolution of Densely Connected Neural Networks Padmini Rajagopalan, Aditya Rawal, Kay E. Holekamp and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), Vancouver... 2014
Grasping Novel Objects with a Dexterous Robotic Hand through Neuroevolution Pei-Chi Huang, Joel Lehman, Aloysius K. Mok, Risto Miikkulainen, Luis Sentis In IEEE Symposium Series on Computational Intelligence, 2014. IEEE. 2014
IJCNN-2013 Tutorial on Evolution of Neural Networks Risto Miikkulainen To Appear In 2013. Tutorial slides.. 2013
Neuroevolution Joel Lehman and Risto Miikkulainen Scholarpedia, 8(6):30977, 2013. 2013
A Neuroevolution Approach to General Atari Game Playing Matthew Hausknecht and Joel Lehman and Risto Miikkulainen and Peter Stone IEEE Transactions on Computational Intelligence and AI in Games, 2013. 2013
Architecture of a Cyberphysical Avatar 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-2... 2013
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
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
Multiagent Learning through Neuroevolution Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, and Wesley Tansey In J. Liu et al., editors, Advances in Computational Intelligence, LNCS 7311, 24-46, Berlin, ... 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
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
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
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
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
Architecture of a Cyberphysical Avatar 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 A... 2012
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
An Integrated Neuroevolutionary Approach to Reactive Control and High-level Strategy Nate Kohl, Risto Miikkulainen IEEE Transactions on Evolutionary Computation, 2011. 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
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
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 In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), 329... 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
Avoiding Premature Convergence in NeuroEvolution by Broadening the Evolutionary Search Matthew de Wet Technical Report HR-11-02, Department of Computer Science, The University of Texas at Austin, 2011. 2011
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
Neuroevolution Risto Miikkulainen In Encyclopedia of Machine Learning, New York, 2010. Springer. 2010
Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution Thomas D'Silva, Risto Miikkulainen Neural Processing Letters, 2009. 2009
Evolving Neural Networks for Strategic Decision-Making Problems Nate Kohl and Risto Miikkulainen In Neural Networks, Special issue on Goal-Directed Neural Systems, 2009. 2009
Evolving Multi-modal Behavior in NPCs Jacob Schrum and Risto Miikkulainen In IEEE Symposium on Computational Intelligence and Games (CIG 2009), 325--332, Milan, Italy,... 2009
Learning in Fractured Problems for Constructive Neural Network Algorithms Nate Kohl PhD Thesis, Department of Computer Sciences, University of Texas at Austin, Austin, TX, 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
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
Evolving Neural Networks for Fractured Domains Nate Kohl and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 1405-1412, July 2008. 2008
Modular Neuroevolution for Multilegged Locomotion Vinod K. Valsalam and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2008, 265-272, Ne... 2008
Constructing Complex NPC Behavior via Multi-Objective Neuroevolution Jacob Schrum and Risto Miikkulainen In Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Confer... 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
Accelerated Neural Evolution through Cooperatively Coevolved Synapses Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen Journal of Machine Learning Research:937-965, 2008. 2008
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
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
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
Evolving Explicit Opponent Models for Game Play Alan Lockett, Charles Chen, and Risto Miikkulainen In Genetic and Evolutionary Computation Conference (GECCO-2007), 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
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
Incorporating Advice into Neuroevolution of Adaptive Agents Chern Han Yong, Kenneth O. Stanley, Risto Miikkulainen, and Igor V. Karpov In Proceedings of the Second Artificial Intelligence and Interactive Digital Entertainment Confer... 2006
Evolving a Real-World Vehicle Warning System Nate Kohl, Kenneth Stanley, Risto Miikkulainen, Michael Samples, and Rini Sherony In Proceedings of the Genetic and Evolutionary Computation Conference, 2006. 2006
Real-Time Evolution of Neural Networks in the NERO Video Game Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, Risto Miikkulainen In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-2006)... 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
Computational Intelligence in Games Risto Miikkulainen, Bobby D. Bryant, Ryan Cornelius, Igor V. Karpov, Kenneth O. Stanley, and Chern Han Yong In Gary Y. Yen and David B. Fogel, editors, Computational Intelligence: Principles and Practice<... 2006
Creating Intelligent Agents in Games Risto Miikkulainen The Bridge:5-13, 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
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
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
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
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
Improving Prescripted Agent Behavior with Neuroevolution Ryan Cornelius Technical Report HR-05-01, Department of Computer Sciences, The University of Texas at Austin, 2005. 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
Automatic Feature Selection via Neuroevolution Shimon Whiteson and Peter Stone and Kenneth O. Stanley and Risto Miikkulainen and Nate Kohl In Proceedings of the Genetic and Evolutionary Computation Conference, June 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
Competitive Coevolution through Evolutionary Complexification Kenneth O. Stanley and Risto Miikkulainen Journal of Artificial Intelligence Research, 21:63-100, 2004. 2004
Evolving Reusable Neural Modules Joseph Reisinger, Kenneth O. Stanley, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2004. 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
The NERO Real-time Video Game Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen Technical Report AI-TR-04-312, Department of Computer Sciences, The University of Texas at Austin, A... 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
Utilizing Domain Knowledge in Neuroevolution James Fan, Raymond Lau, and Risto Miikkulainen Proceedings of the Twentieth International Conference on Machine Learning (ICML-03, Was... 2003
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
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
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
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
Cultural Enhancement Of Neuroevolution Paul H. McQuesten PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2002. Te... 2002
Efficient Evolution Of Neural Network Topologies Kenneth O. Stanley and Risto Miikkulainen In William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and ... 2002
Efficient Reinforcement Learning Through Evolving Neural Network Topologies Kenneth O. Stanley and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), 9, San Fr... 2002
Evolving Neural Networks Through Augmenting Topologies Kenneth O. Stanley and Risto Miikkulainen Evolutionary Computation, 10(2):99-127, 2002. 2002
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
Evolving Populations Of Expert Neural Networks Joseph Bruce and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 251-257, San Francisco... 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
Numerical Optimization with Neuroevolution Brian Greer Technical Report TR-01-49, Department of Computer Science, The University of Texas at Austin, 2001. 2001
Solving Non-Markovian Control Tasks With Neuroevolution Faustino J. Gomez and Risto Miikkulainen In Proceedings of the International Joint Conference on Artificial Intelligence, 1356-1361, S... 1999
2-D Pole Balancing With Recurrent Evolutionary Networks Faustino Gomez and Risto Miikkulainen In Proceedings of the International Conference on Artificial Neural Networks (ICANN-98), 425-... 1998
Projects
     [Expand to show all 21][Minimize]
Areas
Neuroevolution Neuroevolution is a method for optimizing neural network weights and topologies using evolutionary computation. It is particularly useful in sequential decision tasks that are partially observable (i.e. POMDP) and where the state and action spaces are large (or continuous). Our work focuses on theory, algorithms, and applications of neuroevolution as described in numerous papers and demos in this site.
Reinforcement Learning In reinforcement earning tasks the desired behavior is not known; only sparse feedback on how well the agent is doing is provided. Reinforcement learning techniques include value-function and policy iteration methods (note that although evolutionary computation and neuroevolution can also be seen as reinforcement learning methods, they are listed separately in our area hierarchy). Our research in reinforcement learning includes real-world applications such as packet routing, satellite communication, robot navigation, and sensorimotor embedding.
Evolutionary Computation Evolutionary Computation is a biologically inspired machine learning method that aims to solve (or optimize) complex problems by performing an intelligent parallel search in the solution space. Our research in this area focuses primarily on evolving neural networks, or neuroevolution, but also includes work in theory, estimation of distribution algorithms, and particle swarming. Applications include control, robotics, resource optimization, game playing, and artificial life.
Applications 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.
Robotics Our work in robotics focuses on neuroevolution of intelligent locomotion and navigation, as well as cooperation among multiple robots. We have also worked on learning sensorimotor embeddings through unsupervised and reinforcement learning.
Artificial Life Artificial life is a broad field that involves imitating life in software, hardware, and biochemistry. Our work in this area focuses on computational modeling of behavior in simulated agents and teams of agents. In many cases, the behavior is modeled using neural networks and developed using neuroevolution. Specific topics include hierarchical and multimodal behaviors, social behavior, cooperation and competition, and communication.
Software
     [Expand to show all 13][Minimize]
NEAT C++ Original The NEAT package contains source code implementing the NeuroEvolution of Augmenting Topologies method. The source code i... 2001
NEAT Java (JNEAT) The JNEAT package contains Java source code for the NeuroEvolution of Augmenting Topologies method (see the original 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
JavaSANE The JavaSANE package contains the source code for the Hierarchical SANE system, based on SANE-C, but rewritten extensive... 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
ESP C++ The ESP package contains the source code for the Enforced Sup-Populations system written in C++. ESP is an extension t... 2000
rtNEAT C++ The rtNEAT package contains source code implementing the real-time NeuroEvolution of Augmenting Topologies method. In ad... 2006
NEAT Matlab The Matlab NEAT package contains Matlab source code for the NeuroEvolution of Augmenting Topologies method (see the orig... 2003
NEAT Delphi The Delphi NEAT package contains Delphi source code for the NeuroEvolution of Augmenting Topologies method (see the orig... 2003
NEAT C# The SharpNEAT package contains C# source code for the NeuroEvolution of Augmenting Topologies method (see the original <... 2003
NEAT: ANJI (Another NEAT Java Implementation) The ANJI package contains Java source code for the NeuroEvolution of Augmenting Topologies method (see the original 2004
NEAT C++ The NEAT package contains source code implementing the NeuroEvolution of Augmenting Topologies method. The source code i... 2010
CoSyNE C++ CoSyNE is a neuroevolution method where synapses of the network are evolved in separate subpopulations in a cooperative ... 2011
Demos
     [Expand to show all 17][Minimize]
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