neural networks research group
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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.
Publications
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Neuroevolution: Harnessing Creativity in AI Model Design Sebastian Risi, David Ha, Yujin Tang, Risto Miikkulainen To Appear In , Cambridge, MA, 2025. MIT Press. 2025
Unlocking the Potential of Global Human Expertise Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, and Risto Miikkulainen In Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)... 2024
Neuroevolution Tutorial Risto Miikkulainen et al. 2024. 2024
Neuroevolution Insights Into Biological Neural Computation Risto Miikkulainen To Appear In Science, 2024. 2024
EVOTER: Evolution of Transparent Explainable Rule-sets Hormoz Shahrzad, Babak Hodjat, and Risto Miikkulainen ACM Transactions on Evolutionary Learning and Optimization, 2024. 2024
Using context to adapt to sensor drift Jamieson Warner, Ashwin Devaraj, and Risto Miikkulainen In Proceedings of the International Conference on Development and Learning (ICDL 2024), 202... 2024
Discovering Effective Policies for Land-Use Planning with Neuroevolution Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Clemens Schwingshackl, Jacob Bi... arXiv:2311.12304, 2024. (A shorter version appeared in the Proceedings of the NeurIPS 2023 ... 2024
Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management Ashok Khanna, Olivier Francon, and Risto Miikkulainen arXiv:2402.07949, 2024. 2024
Asynchronous Evolution of Deep Neural Network Architectures Jason Liang, Hormoz Shahrzad, Risto Miikkulainen Applied Soft Computing, 152:111209, 2024. Also arXiv:2308:04102. 2024
Efficient Activation Function Optimization through Surrogate Modeling Garrett Bingham and Risto Miikkulainen In Proceedings of the 23rd Conference on Neural Information Processing Systems (NeurIPS 2023)... 2023
Evolutionary Supervised Machine Learning Risto Miikkulainen In W. Banzhaf, P. Machado, and M. Zhang, editors, Handbook of Evolutionary Machine Learning, ... 2023
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks Garrett Bingham and Risto Miikkulainen In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023. (also arXiv:20... 2023
Evolving GAN Formulations for Higher Quality Image Synthesis Santiago Gonzalez, Mohak Kant, and Risto Miikkulainen To Appear In R. Kozma, C. Alippi, Y. Choe, and F. C. Morabito, editors, Artificial Intelligence i... 2023
Evolving Deep Neural Networks Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju... To Appear In R. Kozma, C. Alippi, Y. Choe, and F. Morabito, editors, Artificial Intelligence in t... 2023
Discovering Parametric Activation Functions Garrett Bingham and Risto Miikkulainen Neural Networks, 148:48-65, 2022. 2022
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 Ma... 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
Regularized Evolutionary Population-Based Training Jason Liang, Santiago Gonzalez, Hormoz Shahrzad, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 323-331, 2021. 2021
Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization Santiago Gonzalez and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 305-313, 2021. 2021
Generalization of Agent Behavior through Explicit Representation of Context Cem Tutum, Suhaib Abdulquddos, Risto Miikkulainen In Proceedings of the 3rd IEEE Conference on Games( ), 2021. 2021
From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak ... To Appear In IEEE Transactions on Evolutionary Computation, 25:386-401, 2021. 2021
A Biological Perspective on Evolutionary Computation Risto Miikkulainen and Stephanie Forrest Nature Machine Intelligence, 3:9-15, 2021. 2021
Creative AI through Evolutionary Computation: Principles and Examples Risto Miikkulainen SN Computer Science, 2:163, 2021. 2021
Effective Regularization Through Loss-Function Metalearning Santiago Gonzalez and Risto Miikkulainen In arXiv:2010.00788, 2021. 2021
Evolutionary Optimization of Deep Learning Activation Functions Garrett Bingham, William Macke, and Risto Miikkulainen In Genetic and Evolutionary Computation Conference (GECCO '20), 289-296, Cancun, Mexico, 20... 2020
From Nodes to Networks: Evolving Recurrent Neural Networks Aditya Rawal, Risto Miikkulainen In H. Iba and N. Noman, editors, Deep Neural Evolution: Deep Learning with Evolutionary Computati... 2020
MDEA: Malware Detection with Evolutionary Adversarial Learning Xiruo Wang, Risto Miikkulainen In Proceedings of the 2020 IEEE Congress on Evolutionary Computation, 2020. 2020
Adapting to Unseen Environments through Explicit Representation of Context Cem C Tutum, Risto Miikkulainen In Proceedings of the 2020 Conference on Artificial Life (ALIFE 2020), 581--588, Montreal, Ca... 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Horm... In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2020), 2020. 2020
Evolution of Complex Coordinated Behavior Padmini Rajagopalan, Kay E. Holekamp and Risto Miikkulainen In 2020 IEEE Congress on Evolutionary Computation (CEC), July 2020. 2020
Evolving Deep Neural Networks Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju... In Robert Kozma, Cesare Alippi, Yoonsuck Choe, and Francesco Carlo Morabito, editors, Artificial ... 2019
Evolutionary Neural AutoML for Deep Learning Jason Liang, Elliot Meyerson, Babak Hodjat, Dan Fink, Karl Mutch, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2019), 401–409... 2019
MDEA: Malware Detection with Evolutionary Adversarial Learning Xiruo Wang Masters Thesis, Department of Computer Science, The University of Texas at Austin, 2019. 2019
Factors that Affect the Evolution of Complex Cooperative Behavior Padmini Rajagopalan, Kay E. Holekamp and Risto Miikkulainen In The 2019 Conference on Artificial Life (ALIFE 2019), 333--340, July 2019. 2019
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains Elliot Meyerson and Risto Miikkulainen In 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019. 2019
Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search Cameron R. Wolfe, Cem C. Tutum and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 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
Designing Neural Networks through Evolutionary Algorithms Kenneth O. Stanley, Jeff Clune, Joel Lehman, and Risto Miikkulainen Nature Machine Intelligence, 1:24–35, 2019. 2019
Evolutionary Architecture Search For Deep Multitask Networks Jason Liang, Elliot Meyerson, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 466–473, Kyo... 2018
Opponent Modeling and Exploitation in Poker Using Evolved Recurrent Neural Networks Xun Li PhD Thesis, Department of Computer Sciences, The University of Texas at Austin., Austin, TX, 2018. 2018
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
Evolutionary Neural Architecture Search for Deep Learning Jason Zhi Liang PhD Thesis, The University of Texas at Austin, 2317 Speedway, Austin, TX 78712, December 2018. 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
Opponent Modeling and Exploitation in Poker Using Evolved Recurrent Neural Networks Xun Li and Risto Miikkulainen In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Ja... 2018
Dynamic Adaptation and Opponent Exploitation in Computer Poker Xun Li and Risto Miikkulainen In AAAI-18 Workshop for Imperfect Information Games, New Orleans, LA, USA, 2018. 2018
Evolving Adaptive Poker Players for Effective Opponent Exploitation Xun Li and Risto Miikkulainen In AAAI-17 Workshop on Computer Poker and Imperfect Information Games, San Francisco, CA, USA... 2017
Evolving Artificial Language Through Evolutionary Reinforcement Learning Xun Li and Risto Miikkulainen In Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Livin... 2016
The Evolution of Language Groups among Cooperating Digital Predators Patrick Haley Technical Report HR-16-06, Department of Computer Science, The University of Texas at Austin, 2016. 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 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
Machines Are Becoming More Creative Than Humans Risto Miikkulainen VentureBeat, 2016/04/03, 2016. 2016
Discovering Multimodal Behavior in Ms. Pac-Man through Evolution of Modular Neural Networks Jacob Schrum and Risto Miikkulainen IEEE Transactions on Computational Intelligence and AI in Games, 8(1):67--81, March 2016. 2016
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
Constructing Game Agents Through Simulated Evolution Jacob Schrum and Risto Miikkulainen In Newton Lee, editors, Encyclopedia of Computer Graphics and Games, 1--10, 2016. Springer. 2016
Learning Behavior Characterizations for Novelty Search Elliot Meyerson, Joel Lehman and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016),... 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
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
Neuroevolution Risto Miikkulainen In Sammut, C. and Webb, G. I., editors, Encyclopedia of Machine Learning, 2nd Edition, Berlin... 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
Frame Skip Is a Powerful Parameter for Learning to Play Atari Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen In AAAI-15 Workshop on Learning for General Competency in Video Games, 2015. 2015
Extinction Events Can Accelerate Evolution Joel Lehman and Risto Miikkulainen PLoS ONE, 10(8):e0132886 https://doi.org/10.13, 2015. 2015
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
Enhancing Divergent Search through Extinction Events Joel Lehman and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015),... 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
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
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 Modular Multiobjective Neuroevolution Jacob Schrum PhD Thesis, The University of Texas at Austin, Austin, TX 78712, May 2014. Tech Report TR-14-07. 2014
Competitive Multi-Agent Search Erkin Bahceci PhD Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX 78712, Dec... 2014
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
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
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
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
Evolution of Communication in Mate Selection Aditya Rawal, Janette Boughman and Risto Miikkulainen To Appear In Proceedings of The Fourteenth International Conference on the Synthesis and Simulati... 2014
Evolved Virtual Creatures as Content: Increasing Behavioral and Morphological Complexity Dan Lessin PhD Thesis, Computer Science Department, The University of Texas at Austin, Austin, Texas, December ... 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
Neuroannealing: Martingale-Driven Optimization for Neural Networks Alan J Lockett and Risto Miikkulainen In Proceedings of the 2013 Genetic and Evolutionary Computation Conference (GECCO-2013), 2013... 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
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
Neuroevolution Joel Lehman and Risto Miikkulainen Scholarpedia, 8(6):30977, 2013. 2013
Boosting Interactive Evolution using Human Computation Markets Joel Lehman and Risto Miikkulainen To Appear In Proceedings of the 2nd International Conference on the Theory and Practice of Natura... 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 S... 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
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
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
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
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
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
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 ... In Proceedings of the International Workshop on Real-Time and Distributed Computing in Emerging A... 2012
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
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
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
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
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
Evolving Symmetry for Modular System Design Vinod K. Valsalam and Risto Miikkulainen IEEE Transactions on Evolutionary Computation, 15(3):368--386, 2011. 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
Evolving Agent Behavior In Multiobjective Domains Using Fitness-Based Shaping Jacob Schrum and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010), 439--446,... 2010
Neuroevolution Risto Miikkulainen In Encyclopedia of Machine Learning, New York, 2010. Springer. 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
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
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
Speciation in NEAT Timothy Nodine Technical Report HR-10-06, Department of Computer Science, The University of Texas at Austin, 2010. 2010
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
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 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 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
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
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
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
Accelerated Neural Evolution through Cooperatively Coevolved Synapses Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen Journal of Machine Learning Research:937-965, 2008. 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
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
Acquiring Evolvability through Adaptive Representations Joseph Reisinger and Risto Miikkulainen In Proceeedings of the Genetic and Evolutionary Computation Conference, 1045-1052, 2007. 2007
Coevolution of Role-Based Cooperation in Multi-Agent Systems Chern Han Yong and Risto Miikkulainen Technical Report AI07-338, Department of Computer Sciences, The University of Texas at Austin, 2007. 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
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
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
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
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
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
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
Efficient Credit Assignment through Evaluation Function Decomposition Adrian Agogino, Kagan Tumer, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005
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
Constructing Good Learners Using Evolved Pattern Generators Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen In H.-G. Beyer and others, editors, Proceedings of the Genetic and Evolutionary Computation Confe... 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
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
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
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
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
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
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
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 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
Exploiting Morphological Conventions for Genetic Reuse Kenneth O. Stanley, Joseph Reisinger, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference ({GECCO}-2004) Workshop Pr... 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
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
Efficient Allele Fitness Assignment with Self-organizing Multi-agent System Adrian Agogino and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004) Workshop Progr... 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
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
A Taxonomy for Artificial Embryogeny Kenneth O. Stanley and Risto Miikkulainen Artificial Life, 9(2):93-130, 2003. 2003
Evolving Adaptive Neural Networks with and Without Adaptive Synapses Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen In Proceedings of the 2003 Congress on Evolutionary Computation, Piscataway, NJ, 2003. IEEE. 2003
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
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
Achieving High-Level Functionality through Evolutionary Complexification Kenneth O. Stanley and Risto Miikkulainen In Proceedings of the AAAI-2003 Spring Symposium on Computational Synthesis, Stanford, CA, 20... 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
Evolving Neural Networks Through Augmenting Topologies Kenneth O. Stanley and Risto Miikkulainen Evolutionary Computation, 10(2):99-127, 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
Cultural Enhancement Of Neuroevolution Paul H. McQuesten PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2002. Te... 2002
Continual Coevolution Through Complexification 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 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
The Dominance Tournament Method of Monitoring Progress in Coevolution Kenneth O. Stanley and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference ({GECCO}-2002) Workshop Pr... 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
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
Cooperative Coevolution Of Multi-Agent Systems Chern Han Yong and Risto Miikkulainen Technical Report AI07-338, Department of Computer Sciences, The University of Texas at Austin, 2001. 2001
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
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
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
Eugenic Neuro-Evolution For Reinforcement Learning Daniel Polani and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), 1041-1046... 2000
Cooperative Coevolution of Multi-Agent Systems Chern Han Yong Technical Report HR-00-01, Department of Computer Sciences, The University of Texas at Austin, 2000. 2000
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
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
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
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
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
Culling And Teaching In Neuro-Evolution Paul McQuesten and Risto Miikkulainen In Thomas B{"a}ck, editors, Proceedings of the Seventh International Conference on Genetic Algori... 1997
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
Incremental Evolution Of Complex General Behavior Faustino Gomez and Risto Miikkulainen Adaptive Behavior(5):317-342, 1997. 1997
Forming Neural Networks Through Efficient And Adaptive Coevolution David E. Moriarty and Risto Miikkulainen Evolutionary Computation, 5:373--399, 1997. 1997
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
Efficient Reinforcement Learning Through Symbiotic Evolution David E. Moriarty and Risto Miikkulainen In Leslie Pack Kaelbling, editors, Recent Advances in Reinforcement Learning(AI94-224), 11-32... 1996
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
Discovering Complex Othello Strategies Through Evolutionary Neural Networks David E. Moriarty and Risto Miikkulainen Connection Science, 7:195--209, 1995. 1995
Evolutionary Neural Networks For Value Ordering In Constraint Satisfaction Problems David E. Moriarty and Risto Miikkulainen Technical Report AI94-218, 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
Searle, Subsymbolic Functionalism And Synthetic Intelligence Diane Law Technical Report, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 19... 1994
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
Using Marker-Based Genetic Encoding Of Neural Networks To Evolve Finite-State Behaviour Brad Fullmer and Risto Miikkulainen In Francisco J. Varela and Paul Bourgine, editors, Toward a Practice of Autonomous Systems: {P}ro... 1991
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
People
     [Expand to show all 70][Minimize]
Suhaib Abdulquddos Masters Alumni suhaib [at] cs utexas edu
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
Erkin Bahceci Ph.D. Alumni erkin [at] cs utexas edu
Garrett Bingham Ph.D. Alumni bingham [at] cs utexas edu
Yonatan Bisk Undergraduate Alumni ybisk [at] yo-tech com
Brian D. Boyles Masters Alumni bboyles [at] utexas edu
Joseph Bruce Former Ph.D. Student
Bobby D. Bryant Ph.D. Alumni bdbryant [at] cse unr edu
Chris Bush Undergraduate Alumni
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
Nirav Desai Undergraduate Alumni
Adam C. Dziuk Undergraduate Alumni
Eliana Feasley Former Ph.D. Student elie [at] cs utexas edu
Olivier Francon Collaborator olivier francon [at] cognizant com
Brad Fullmer Undergraduate Alumni
Aliza Gold Former Collaborator
Faustino Gomez Postdoctoral Alumni tino [at] idsia ch
Aravind Gowrisankar Masters Alumni
Brian Greer Undergraduate Alumni
Todd Greer Undergraduate Alumni
Patrick Haley Undergraduate Alumni
Nabil M. Hewahi Former Visitor nhewahi [at] iugaza edu ps
Babak Hodjat Collaborator babak [at] cognizant com
Kay E. Holekamp Former Collaborator holekamp [at] msu edu
Matthew Johnston Undergraduate Alumni
Igor V. Karpov Masters Alumni ikarpov [at] gmail com
Riitta Katila Collaborator rkatila [at] stanford edu
Leslie M. Kay Former Collaborator
Nate Kohl Ph.D. Alumni nate [at] natekohl net
Joel Lehman Postdoctoral Alumni joel [at] cs utexas edu
Dan Lessin Ph.D. Alumni dlessin [at] cs utexas edu
Xun Li Ph.D. Alumni xun bhsfer [at] cs utexas edu
Jason Zhi Liang Ph.D. Alumni jasonzliang [at] utexas edu
Alan J. Lockett Ph.D. Alumni alan lockett [at] gmail com
Alex Lubberts Former Visitor
Reza Mahjourian Ph.D. Alumni reza [at] cs utexas edu
Paul H. McQuesten Ph.D. Alumni paul [at] mcquesten net
Elliot Meyerson Ph.D. Alumni ekm [at] cs utexas edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
German Monroy Masters Alumni gmonroy [at] cs utexas edu
David E. Moriarty Ph.D. Alumni moriarty [at] alumni utexas net
Timothy Nodine Undergraduate Alumni
Andres Santiago Perez-Bergquist Undergraduate Alumni aspb [at] mapache org
Praveen Pilly Former Collaborator
Daniel Polani Postdoctoral Alumni d polani [at] herts ac uk
Xin Qiu Collaborator xin qiu [at] cognizant com
Melissa Redford Postdoctoral Alumni redford [at] cs utexas edu
Joseph Reisinger Former Ph.D. Student joeraii [at] cs utexas edu
Norman Richards Undergraduate Alumni orb [at] toki dhs org
David Robson Undergraduate Alumni
Jacob Schrum Ph.D. Alumni schrum2 [at] southwestern edu
Hormoz Shahrzad Ph.D. Student hormoz [at] cs utexas edu
Rini Sherony Former Collaborator rini sherony [at] tema toyota com
Yiu Fai Sit Ph.D. Alumni yfsit [at] cs utexas edu
Kenneth Stanley Postdoctoral Alumni kstanley [at] cs ucf edu
Anand Subramoney Masters Alumni anands [at] cs utexas edu
Nathaniel Tucker Undergraduate Alumni
Cem C Tutum Former Research Scientist tutum [at] cs utexas edu
Vinod Valsalam Ph.D. Alumni vkv [at] alumni utexas net
Xiruo Wang Masters Alumni kevinxrwang [at] utexas edu
Jamieson Warner Ph.D. Student jamiesonwarner [at] utexas edu
Shimon Whiteson Former Collaborator s a whiteson [at] uva nl
Chern Han Yong Masters Alumni cherny [at] nus edu sg
Projects
     [Expand to show all 33][Minimize]
Coevolution of Competitive and Cooperative Agent Behavior Since 2009
The OpenNERO AI Research and Education Platform Since 2009
The Role of Emotion and Communication in Cooperative Behavior 2013 - 2016
Learning Strategic Behavior in Sequential Decision Tasks 2009 - 2014
Human-like Bots in Unreal Tournament 2008 - 2012
Evolving Controllers for Physical Multilegged Robots 2010 - 2011
NEAT: Evolving Increasingly Complex Neural Network Topologies 2000 - 2011
Constructing Intelligent Agents in Simulated Worlds 2008 - 2010
Evolving Locomotion Controllers for Multilegged Robots 2008 - 2010
Utilizing Symmetry in Evolutionary Design 2007 - 2010
NERO: NeuroEvolving Robotic Operatives 2003 - 2009
Diverse Behavior in Teams of Homogeneous Agents 2001 - 2007
Cooperative Coevolution of Multi-Agent Systems 2000 - 2007
NEAT: Evolving Vehicle Warning Systems 2004 - 2006
Solving Non-Markov Control Tasks 1996 - 2006
Controlling a Finless Rocket Through Neuroevolution 2002 - 2003
Nonlinear, Adaptive Process Control 2001 - 2002
Refinement and On-Line Adaptation of Neurocontrollers Through Particle swarming 2001 - 2002
Dynamic Resource Allocation on a Multiprocessor Chip 2000 - 2002
Evolving Confident Neural Networks 2000 - 2002
Eugenic Evolution: The EuA, EuSANE, and TEAM 1998 - 2002
Optimizing a Manufacturing Process 1998 - 2002
Creating Melodies with Evolving Recurrent Networks 2000 - 2001
Modeling the Emergence of Syllable Systems 1998 - 2001
Playing Go 1998 - 2001
Natural Deduction 1999 - 2000
Utilizing Population Culture in Neuroevolution 1998 - 2000
Real-time Interactive Gaming 1997 - 1999
Controlling Chaos 1995 - 1997
Playing Othello 1994 - 1997
Robot Control 1994 - 1997
Symbiotic Evolution: The SANE System 1994 - 1997
Marker-Based Encoding of Neural Networks 1991 - 1995
Demos
     [Expand to show all 25][Minimize]
Bilevel Optimization of the Helicopter Hovering Control Task Jason Zhi Liang and Risto Miikkulainen 2015
Multimodal Behavior in Isolated Ms. Pac-Man Jacob Schrum 2015
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
A Neuroevolution Approach to General Atari Game Playing Matthew Hausknecht 2013
Open-Ended Behavioral Complexity for Evolved Virtual Creatures Dan Lessin, Don Fussell, Risto Miikkulainen 2013
UT^2: Winner of 2012 BotPrize in Unreal Tournament 2004 Jacob Schrum, Igor Karpov 2012
Evolving Controllers for Physical Multilegged Robots Vinod Valsalam 2011
Multi-modal Approaches to Evolving Behavior for Multi-task Games Jacob Schrum 2011
Evolving Controller Symmetry for Multilegged Robots Vinod Valsalam 2010
Fitness-based Shaping in Multi-objective Domains Jacob Schrum 2010
Learning in Fractured Domains Nate Kohl 2009
Multi-modal Behavior in NPCs Jacob Schrum 2009
Modular Neuroevolution for Multilegged Locomotion Vinod Valsalam 2008
Multi-objective Neuroevolution of NPCs Jacob Schrum 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
Neuroevolution of Augmenting Topologies Demos Kenneth Stanley 2003
Double Pole Balancing with ESP Faustino Gomez 1999
Software/Data
     [Expand to show all 23][Minimize]
ContextSkillFlappyBall Download at GitHub.

Context-skill model for extrapolati...

2021
BBMS BBMS is software for Brian Boyles's Masters thesis on evolving scout agents for military simulations. It includes a simu... 2015
MM-NEAT Download at GitHub

Modular Multiobjective NEAT is a software fra... 		2014
UT^2: Winning Botprize 2012 Entry The Botprize Competition is an annual competition to program bots that appear human-l... 2012
CoSyNE C++ CoSyNE is a neuroevolution method where synapses of the network are evolved in separate subpopulations in a cooperative ... 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
rtNEAT C++ The rtNEAT package contains source code implementing the real-time NeuroEvolution of Augmenting Topologies method. In ad... 2006
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 SharpNEAT package contains C# source code for the NeuroEvolution of Augmenting Topologies method (see the original <... 2003
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
TEAM The TEAM package contains C++ implementations of both EuA (The Eugenic Algorithm) and TEAM (The Eugenic Algorithm with M... 2002
NEAT C++ Original The NEAT package contains source code implementing the NeuroEvolution of Augmenting Topologies method. The source code i... 2001
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
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
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