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.
People
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Suhaib Abdulquddos Masters Alumni suhaib [at] cs utexas edu
Adrian Agogino Formerly affiliated 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 Formerly affiliated 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 Formerly affiliated Visitor
Ryan Cornelius Undergraduate Alumni
James Craver Undergraduate Alumni
Thomas D'Silva Masters Alumni twdsilva [at] gmail com
Thomas D'Silva Masters Alumni twdsilva [at] gmail com
Matthew de Wet Undergraduate Alumni
Nirav Desai Undergraduate Alumni
Adam C. Dziuk Undergraduate Alumni
James Jumin Fan Ph.D. Alumni jfan [at] cs utexas edu
Eliana Feasley Formerly affiliated Ph.D. Student elie [at] cs utexas edu
Olivier Francon Collaborator olivier francon [at] cognizant com
Brad Fullmer Undergraduate Alumni
Aliza Gold Formerly affiliated 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
Matthew Hausknecht Formerly affiliated Collaborator mhauskn [at] cs utexas edu
Nabil M. Hewahi Formerly affiliated Visitor nhewahi [at] iugaza edu ps
Babak Hodjat Collaborator babak [at] cognizant com
Kay E. Holekamp Formerly affiliated 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 Formerly affiliated 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 Formerly affiliated 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 Formerly affiliated 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 Ph.D. Alumni joeraii [at] cs utexas edu
Joseph Reisinger Formerly affiliated 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 Masters Alumni hormoz [at] cognizant com
Rini Sherony Formerly affiliated 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 Formerly affiliated 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 Formerly affiliated Collaborator s a whiteson [at] uva nl
Chern Han Yong Masters Alumni cherny [at] nus edu sg
Publications
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Asynchronous Evolution of Deep Neural Network Architectures 2024
Jason Liang, Hormoz Shahrzad, Risto Miikkulainen, Applied Soft Computing, Vol. 152 (2024), pp. 111209. Also arXiv:2308:04102.
Discovering Effective Policies for Land-Use Planning with Neuroevolution 2024
Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Clemens Schwingshackl, Jacob Bieker, Hugo Cunha, and Babak Hodjat, arXiv:2311.12304 (2024). (A shorter version appeared in the Proceedings of the NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning).
Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management 2024
Ashok Khanna, Olivier Francon, and Risto Miikkulainen, arXiv:2402.07949 (2024).
Using context to adapt to sensor drift 2024
Jamieson Warner, Ashwin Devaraj, and Risto Miikkulainen, In Proceedings of the International Conference on Development and Learning (ICDL 2024), 2024. (also arXiv:2003.07292).
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks 2023
Garrett Bingham and Risto Miikkulainen, In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023. (also arXiv:2021.08958).
Efficient Activation Function Optimization through Surrogate Modeling 2023
Garrett Bingham and Risto Miikkulainen, In Proceedings of the 23rd Conference on Neural Information Processing Systems (NeurIPS 2023), 2023.
Evolutionary Supervised Machine Learning 2023
Risto Miikkulainen, In Handbook of Evolutionary Machine Learning, W. Banzhaf, P. Machado, and M. Zhang (Eds.), New York, 2023. Springer.
Evolving Deep Neural Networks 2023
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 Artificial Intelligence in the Age of Neural Networks and Brain Computing (second edition), R. Kozma, C. Alippi, Y. Choe, and F. Morabito (Eds.), New York, 2023. Elsevier.
Evolving GAN Formulations for Higher Quality Image Synthesis 2023
Santiago Gonzalez, Mohak Kant, and Risto Miikkulainen, To Appear In Artificial Intelligence in the Age of Neural Networks and Brain Computing (second edition), R. Kozma, C. Alippi, Y. Choe, and F. C. Morabito (Eds.), New York, 2023. Elsevier. Als...
Neuroevolution Tutorial 2023
Risto Miikkulainen, No other information
Discovering Parametric Activation Functions 2022
Garrett Bingham and Risto Miikkulainen, Neural Networks, Vol. 148 (2022), pp. 48-65.
Effective Mutation Rate Adaptation through Group Elite Selection 2022
Akarsh Kumar, Bo Liu, Risto Miikkulainen, and Peter Stone, In Proceedings of the Genetic and Evolutionary Computation Conference, 2022. (also arXiv:2204.04817).
Evolution of Transparent Explainable Rule-sets 2022
Hormoz Shahrzad, Babak Hodjat, and Risto Miikkulainen, arXiv:2204.10438 (2022).
Neuroevolution 2022
Risto Miikkulainen, To Appear In Encyclopedia of Machine Learning and Data Science, 3rd Edition, Dinh Phung, Claude Sammut and Geoffrey I. Webb (Eds.), New York, 2022. Springer.
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings) 2022
Elliot Meyerson, Xin Qiu, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 739--748, 2022.
A Biological Perspective on Evolutionary Computation 2021
Risto Miikkulainen and Stephanie Forrest, Nature Machine Intelligence, Vol. 3 (2021), pp. 9-15.
Creative AI through Evolutionary Computation: Principles and Examples 2021
Risto Miikkulainen, SN Computer Science, Vol. 2 (2021), pp. 163.
Effective Regularization Through Loss-Function Metalearning 2021
Santiago Gonzalez and Risto Miikkulainen, arXiv:2010.00788 (2021).
Evaluating Medical Aesthetics Treatments through Evolved Age-Estimation Models 2021
Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Matt Yan, Michael Ye, Jingyuan Yang, Damon Caiazza, and Stephanie Manson Brown, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1009–1017, 2021.
From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic 2021
Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak Hodjat, To Appear In IEEE Transactions on Evolutionary Computation, Vol. 25 (2021), pp. 386-401.
Generalization of Agent Behavior through Explicit Representation of Context 2021
Cem Tutum, Suhaib Abdulquddos, Risto Miikkulainen, In Proceedings of the 3rd IEEE Conference on Games, , 2021.
Neuroevolution: A Synergy of Evolution and Learning 2021
Risto Miikkulainen, Plenary presentation at the Congress for Evolutionary Computation (CEC'21).
Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization 2021
Santiago Gonzalez and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 305-313, 2021.
Regularized Evolutionary Population-Based Training 2021
Jason Liang, Santiago Gonzalez, Hormoz Shahrzad, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 323-331, 2021.
Adapting to Unseen Environments through Explicit Representation of Context 2020
Cem C Tutum, Risto Miikkulainen, In Proceedings of the 2020 Conference on Artificial Life (ALIFE 2020), pp. 581--588, Montreal, Canada, July 2020. The MIT Press.
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription 2020
Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2020), 2020.
Evolution of Complex Coordinated Behavior 2020
Padmini Rajagopalan, Kay E. Holekamp and Risto Miikkulainen, In 2020 IEEE Congress on Evolutionary Computation (CEC), July 2020.
Evolutionary Optimization of Deep Learning Activation Functions 2020
Garrett Bingham, William Macke, and Risto Miikkulainen, In Genetic and Evolutionary Computation Conference (GECCO '20), pp. 289-296, Cancun, Mexico, 2020.
From Nodes to Networks: Evolving Recurrent Neural Networks 2020
Aditya Rawal, Risto Miikkulainen, In Deep Neural Evolution: Deep Learning with Evolutionary Computation, H. Iba and N. Noman (Eds.), pp. 233-251 2020. Springer. (also arxiv:1803.04439).
MDEA: Malware Detection with Evolutionary Adversarial Learning 2020
Xiruo Wang, Risto Miikkulainen, In Proceedings of the 2020 IEEE Congress on Evolutionary Computation, 2020.
Designing Neural Networks through Evolutionary Algorithms 2019
Kenneth O. Stanley, Jeff Clune, Joel Lehman, and Risto Miikkulainen, Nature Machine Intelligence, Vol. 1 (2019), pp. 24–35.
Evolutionary Neural AutoML for Deep Learning 2019
Jason Liang, Elliot Meyerson, Babak Hodjat, Dan Fink, Karl Mutch, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2019), pp. 401–409 2019.
Evolving Deep Neural Networks 2019
Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, and Babak Hodjat, In Artificial Intelligence in the Age of Neural Networks and Brain Computing, Robert Kozma, Cesare Alippi, Yoonsuck Choe, and Francesco Carlo Morabito (Eds.), pp. 293-312 2019. Amsterdam: Elsev...
Factors that Affect the Evolution of Complex Cooperative Behavior 2019
Padmini Rajagopalan, Kay E. Holekamp and Risto Miikkulainen, In The 2019 Conference on Artificial Life (ALIFE 2019), pp. 333--340, July 2019.
Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search 2019
Cameron R. Wolfe, Cem C. Tutum and Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2019), pp. 7, Prague, Czech Republic, July 2019.
MDEA: Malware Detection with Evolutionary Adversarial Learning 2019
Xiruo Wang, Masters Thesis, Department of Computer Science, The University of Texas at Austin.
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains 2019
Elliot Meyerson and Risto Miikkulainen, In 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019.
Tradeoffs in Neuroevolutionary Learning-Based Real-Time Robotic Task Design in the Imprecise Computation Framework 2019
Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen, ACM Transactions on Cyber-Physical Systems, Vol. 3 (2019). DOI 0.1145/3178903.
A Neuroevolutionary Approach to Adaptive Multi-agent Teams 2018
Bobby D. Bryant and Risto Miikkulainen, In Foundations of Trusted Autonomy, H. A. Abbass and J. Scholz and D. J. Reid (Eds.), pp. 87-114, New York 2018. Springer.
Discovering Gated Recurrent Neural Network Architectures 2018
Aditya Rawal, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
Dynamic Adaptation and Opponent Exploitation in Computer Poker 2018
Xun Li and Risto Miikkulainen, AAAI-18 Workshop for Imperfect Information Games (2018).
Evolutionary Architecture Search For Deep Multitask Networks 2018
Jason Liang, Elliot Meyerson, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp. 466–473, Kyoto, Japan, 2018.
Evolutionary Neural Architecture Search for Deep Learning 2018
Jason Zhi Liang, PhD Thesis, The University of Texas at Austin.
Opponent Modeling and Exploitation in Poker Using Evolved Recurrent Neural Networks 2018
Xun Li, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin..
Opponent Modeling and Exploitation in Poker Using Evolved Recurrent Neural Networks 2018
Xun Li and Risto Miikkulainen, In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Japan, July 2018. ACM.
Evolving Adaptive Poker Players for Effective Opponent Exploitation 2017
Xun Li and Risto Miikkulainen, Technical Reports of the Thirty-first AAAI Conference of Artificial Intelligence (AAAI-17) (2017).
Constructing Game Agents Through Simulated Evolution 2016
Jacob Schrum and Risto Miikkulainen, In Encyclopedia of Computer Graphics and Games, Newton Lee (Eds.), pp. 1--10 2016. Springer.
Discovering Multimodal Behavior in Ms. Pac-Man through Evolution of Modular Neural Networks 2016
Jacob Schrum and Risto Miikkulainen, IEEE Transactions on Computational Intelligence and AI in Games, Vol. 8, 1 (2016), pp. 67--81.
Evolving Artificial Language Through Evolutionary Reinforcement Learning 2016
Xun Li and Risto Miikkulainen, In Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Living Systems, Cambridge, MA, 2016. MIT Press.
Evolving Deep LSTM-based Memory networks using an Information Maximization Objective 2016
Aditya Rawal and Risto Miikkulainen, To Appear In Genetic and Evolutionary Computation Conference (GECCO 2016), Colorado, USA 2016.
Learning Behavior Characterizations for Novelty Search 2016
Elliot Meyerson, Joel Lehman and Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016), Denver, Colorado 2016. ACM.
Machines Are Becoming More Creative Than Humans 2016
Risto Miikkulainen, VentureBeat, Vol. 2016/04/03 (2016).
Reuse of Neural Modules for General Video Game Playing 2016
Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen, To Appear In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16) 2016.
Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution 2016
Jacob Schrum and Risto Miikkulainen, Evolutionary Computation, Vol. 24, 3 (2016), pp. 459--490. MIT Press.
The Evolution of Coordinated Cooperative Behaviors 2016
Padmini Rajagopalan, PhD Thesis, Department of Computer Science, University of Texas at Austin.
The Evolution of Language Groups among Cooperating Digital Predators 2016
Patrick Haley, Technical Report HR-16-06, Department of Computer Science, The University of Texas at Austin.
Extinction Events Can Accelerate Evolution 2015
Joel Lehman and Risto Miikkulainen, PLoS ONE, Vol. 10(8) (2015), pp. e0132886 https://doi.org/10.13.
Enhancing Divergent Search through Extinction Events 2015
Joel Lehman and Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), Madrid, Spain 2015.
Evaluating team behaviors constructed with human-guided machine learning 2015
Igor V. Karpov, Leif M. Johnson and Risto Miikkulainen, To Appear In Proceedings of the IEEE Conference on Computational Intelligence in Games, August 31-July 2 2015.
Evolutionary Bilevel Optimization for Complex Control Problems and Blackbox Function Optimization 2015
Jason Zhi Liang, Masters Thesis, Department of Computer Sciences, The University of Texas at Austin.
Evolutionary Bilevel Optimization for Complex Control Tasks 2015
Jason Zhi Liang, Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), pp. 871–878, Madrid, Spain, July 2015.
Evolving Scout Agents for Military Simulations 2015
Brian D. Boyles, Masters Thesis, Department of Computer Sciences, The University of Texas at Austin.
Evolving Strategies for Social Innovation Games 2015
Erkin Bahceci, Riitta Katila and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), Madrid, Spain 2015.
Frame Skip Is a Powerful Parameter for Learning to Play Atari 2015
Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen, In AAAI-15 Workshop on Learning for General Competency in Video Games 2015.
Neuroevolution 2015
Risto Miikkulainen, In Encyclopedia of Machine Learning, 2nd Edition, Sammut, C. and Webb, G. I. (Eds.), Berlin, 2015. Springer.
On the Cross-Domain Reusability of Neural Modules for General Video Game Playing 2015
Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen, In IJCAI'15 Workshop on General Intelligence in Game-Playing Agents, pp. 7--14 2015.
Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution 2015
Jacob Schrum and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), pp. 345--352, Madrid, Spain, July 2015. Best Paper: Digital Entertainment and Arts.
The Impact of Determinism on Learning Atari 2600 Games 2015
Matthew Hausknecht and Peter Stone, In AAAI Workshop on Learning for General Competency in Video Games, Austin, Texas, USA, January 2015.
Adapting Morphology to Multiple Tasks in Evolved Virtual Creatures 2014
Dan Lessin, Don Fussell, Risto Miikkulainen, To Appear In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14) 2014 2014.
Competitive Multi-Agent Search 2014
Erkin Bahceci, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
Evolution of Communication in Mate Selection 2014
Aditya Rawal, Janette Boughman and Risto Miikkulainen, To Appear In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14) , New York, USA, July, 2014 2014.
Evolved Virtual Creatures as Content: Increasing Behavioral and Morphological Complexity 2014
Dan Lessin, PhD Thesis, Computer Science Department, The University of Texas at Austin. Tech Report TR-15-01.
Evolving Multimodal Behavior Through Modular Multiobjective Neuroevolution 2014
Jacob Schrum, PhD Thesis, The University of Texas at Austin. Tech Report TR-14-07.
Evolving Multimodal Behavior Through Subtask and Switch Neural Networks 2014
Xun Li and Risto Miikkulainen, In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14) 2014.
Evolving Multimodal Behavior With Modular Neural Networks in Ms. Pac-Man 2014
Jacob Schrum and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), pp. 325--332, Vancouver, BC, Canada, July 2014. Best Paper: Digital Entertainment and Arts.
General Intelligence through Prolonged Evolution of Densely Connected Neural Networks 2014
Padmini Rajagopalan, Aditya Rawal, Kay E. Holekamp and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), Vancouver, BC, Canada, July 2014.
Grasping Novel Objects with a Dexterous Robotic Hand through Neuroevolution 2014
Pei-Chi Huang, Joel Lehman, Aloysius K. Mok, Risto Miikkulainen, Luis Sentis, In IEEE Symposium Series on Computational Intelligence 2014. IEEE.
Overcoming Deception in Evolution of Cognitive Behaviors 2014
Joel Lehman and Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), Vancouver, BC, Canada, July 2014.
The Evolution of General Intelligence 2014
Padmini Rajagopalan, Kay E. Holekamp and Risto Miikkulainen, In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14), New York, NY 2014.
Trading Control Intelligence for Physical Intelligence: Muscle Drives in Evolved Virtual Creatures 2014
Dan Lessin, Don Fussell, Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2014 2014.
A Neuroevolution Approach to General Atari Game Playing 2013
Matthew Hausknecht, Joel Lehman, Risto Miikkulainen, and Peter Stone, IEEE Transactions on Computational Intelligence and AI in Games (2013).
Architecture of a Cyberphysical Avatar 2013
Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Quan Leng, Xiuming Zhu, Luis Sentis, Kwan Suk Kim, and Risto Miikkulainen, In Proceedings of the ACM/IEEE Fourth International Conference on Cyber-Physical Systems (ICCPS-2013) 2013.
Boosting Interactive Evolution using Human Computation Markets 2013
Joel Lehman and Risto Miikkulainen, To Appear In Proceedings of the 2nd International Conference on the Theory and Practice of Natural Computation, pp. 18 pages 2013. Springer.
Effective Diversity Maintenance in Deceptive Domains 2013
Joel Lehman, Kenneth O. Stanley and Risto Miikkulainen, To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2013 2013.
IJCNN-2013 Tutorial on Evolution of Neural Networks 2013
Risto Miikkulainen, To Appear In unpublished. Tutorial slides..
Neuroannealing: Martingale-Driven Optimization for Neural Networks 2013
Alan J Lockett and Risto Miikkulainen, In Proceedings of the 2013 Genetic and Evolutionary Computation Conference (GECCO-2013) 2013. ACM Press.
Neuroevolution 2013
Joel Lehman and Risto Miikkulainen, Scholarpedia, Vol. 8, 6 (2013), pp. 30977.
Open-Ended Behavioral Complexity for Evolved Virtual Creatures 2013
Dan Lessin, Don Fussell, Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2013 2013.
Accelerating Evolution via Egalitarian Social Learning 2012
Wesley Tansey, Eliana Feasley, and Risto Miikkulainen, In Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO 2012), Philadelphia, Pennsylvania, USA 2012.
Architecture of a Cyberphysical Avatar 2012
Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Xiuming Zhu, Luis Sentis, Kan Suk Kim, Risto Miikkulainen, and Jacob Menashe, In Proceedings of the International Workshop on Real-Time and Distributed Computing in Emerging Applications (REACTION) 2012.
Constructing Controllers for Physical Multilegged Robots using the ENSO Neuroevolution Approach 2012
Vinod K. Valsalam, Jonathan Hiller, Robert MacCurdy, Hod Lipson and Risto Miikkulainen, Evolutionary Intelligence, Vol. 5, 1 (2012), pp. 1--12.
Evaluating Modular Neuroevolution in Robotic Keepaway Soccer 2012
Anand Subramoney, Masters Thesis, Department of Computer Science, The University of Texas at Austin. 54 pages.
Evaluation Methods for Active Human-Guided Neuroevolution in Games 2012
Igor Karpov, Leif Johnson, Vinod Valsalam and Risto Miikkulainen, In 2012 AAAI Fall Symposium on Robots Learning Interactively from Human Teachers (RLIHT), November 2012.
Evolution of a Communication Code in Cooperative Tasks 2012
Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen and Kay Holekamp, In Artificial Life (13th International Conference on the Synthesis and Simulation of Living Systems), East Lansing, Michigan, USA 2012.
Evolving Multimodal Networks for Multitask Games 2012
Jacob Schrum and Risto Miikkulainen, IEEE Transactions on Computational Intelligence and AI in Games, Vol. 4, 2 (2012), pp. 94--111. IEEE.
General-Purpose Optimization Through Information-Maximization 2012
Alan J Lockett, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. Tech Report AI12-11.
Humanlike Combat Behavior via Multiobjective Neuroevolution 2012
Jacob Schrum, Igor V. Karpov and Risto Miikkulainen, In Believable Bots, Philip F. Hingston (Eds.), pp. 119--150 2012. Springer Berlin Heidelberg.
HyperNEAT-GGP: A HyperNEAT-based Atari General Game Player 2012
Matthew Hausknecht, Piyush Khandelwal, Risto Miikkulainen, Peter Stone, In Genetic and Evolutionary Computation Conference (GECCO) 2012 2012.
Multiagent Learning through Neuroevolution 2012
Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, and Wesley Tansey, In Advances in Computational Intelligence, J. Liu et al. (Eds.), Vol. LNCS 7311, pp. 24-46, Berlin, Heidelberg: 2012. Springer.
Task decomposition with neuroevolution in extended predator-prey domain 2012
Ashish Jain, Anand Subramoney, Risto Miikkulainen, In Proceedings of Thirteenth International Conference on the Synthesis and Simulation of Living Systems, East Lansing, MI, USA 2012.
An Integrated Neuroevolutionary Approach to Reactive Control and High-level Strategy 2011
Nate Kohl, Risto Miikkulainen, IEEE Transactions on Evolutionary Computation (2011).
Assisting Machine Learning Through Shaping, Advice and Examples 2011
Igor Karpov, Vinod Valsalam and Risto Miikkulainen, In 2011 IJCAI Workshop on Agents Learning Interactively from Human Teachers (ALIHT), July 2011.
Avoiding Premature Convergence in NeuroEvolution by Broadening the Evolutionary Search 2011
Matthew de Wet, Technical Report HR-11-02, Department of Computer Science, The University of Texas at Austin.
Creating Intelligent Agents through Shaping of Coevolution 2011
Adam Dziuk, Technical Report HR-11-01, Department of Computer Science, The University of Texas at Austin.
Creating Intelligent Agents through Shaping of Coevolution 2011
Adam Dziuk and Risto Miikkulainen, In Proceedings of the Congress on Evolutionary Computation, New Orleans, LA 2011. IEEE.
Evolving Multimodal Networks for Multitask Games 2011
Jacob Schrum and Risto Miikkulainen, In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), pp. 102--109, Seoul, South Korea, September 2011. IEEE. (Best Paper Award).
Evolving Symmetry for Modular System Design 2011
Vinod K. Valsalam and Risto Miikkulainen, IEEE Transactions on Evolutionary Computation, Vol. 15, 3 (2011), pp. 368--386.
Human-Assisted Neuroevolution Through Shaping, Advice and Examples 2011
Igor V. Karpov, Vinod K. Valsalam and Risto Miikkulainen, In Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference (GECCO 2011), Dublin, Ireland, July 2011.
The Role of Reward Structure, Coordination Mechanism and Net Return in the Evolution of Cooperation 2011
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), Seoul, South Korea 2011.
UT^2: Human-like Behavior via Neuroevolution of Combat Behavior and Replay of Human Traces 2011
Jacob Schrum, Igor V. Karpov and Risto Miikkulainen, In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), pp. 329--336, Seoul, South Korea, September 2011. IEEE.
An Analysis of Automated Decision Making Methodologies in Role Playing Video Games: Centralized Approach 2010
Christopher Bush, Technical Report HR-10-03, Department of Computer Science, The University of Texas at Austin.
An Analysis of Distributed Decision Making Methodologies in Role Playing Video Games 2010
Matthew Johnston, Technical Report HR-10-09, Department of Computer Science, The University of Texas at Austin.
Coevolution of Role-Based Cooperation in Multi-Agent Systems 2010
Chern Han Yong and Risto Miikkulainen, IEEE Transactions on Autonomous Mental Development, Vol. 1 (2010), pp. 170--186.
Constructing Competitive and Cooperative Agent Behavior Using Coevolution 2010
Aditya Rawal, Padmini Rajagopalan and Risto Miikkulainen, In IEEE Conference on Computational Intelligence and Games (CIG 2010), Copenhagen, Denmark, August 2010.
Evolving Agent Behavior In Multiobjective Domains Using Fitness-Based Shaping 2010
Jacob Schrum and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010), pp. 439--446, Portland, Oregon, July 2010.
Hierarchical Neural Networks for Behavior-Based Decision Making 2010
David Robson, Technical Report HR-10-02, Department of Computer Science, The University of Texas at Austin.
Neuroevolution 2010
Risto Miikkulainen, In Encyclopedia of Machine Learning, New York 2010. Springer.
Speciation in NEAT 2010
Timothy Nodine, Technical Report HR-10-06, Department of Computer Science, The University of Texas at Austin.
Utilizing Symmetry in Evolutionary Design 2010
Vinod Valsalam, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. Technical Report AI-10-04.
Evolving Adaptive Intelligence: Using NeuroEvolution with Temporal Difference Methods in the Game Domain 2009
Nathaniel Tucker, Technical Report HR-09-04, Department of Computer Science, The University of Texas at Austin..
Evolving Multi-modal Behavior in NPCs 2009
Jacob Schrum and Risto Miikkulainen, In IEEE Symposium on Computational Intelligence and Games (CIG 2009), pp. 325--332, Milan, Italy, September 2009. (Best Student Paper Award).
Evolving Neural Networks for Strategic Decision-Making Problems 2009
Nate Kohl and Risto Miikkulainen, Neural Networks, Special issue on Goal-Directed Neural Systems (2009).
Evolving Symmetric and Modular Neural Network Controllers for Multilegged Robots 2009
Vinod K. Valsalam and Risto Miikkulainen, In xploring New Horizons in Evolutionary Design of Robots: Workshop at the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2009.
Evolving Symmetric and Modular Neural Networks for Distributed Control 2009
Vinod K. Valsalam and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp. 731--738 2009.
Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution 2009
Thomas D'Silva, Risto Miikkulainen, Neural Processing Letters (2009).
Learning in Fractured Problems for Constructive Neural Network Algorithms 2009
Nate Kohl, PhD Thesis, Department of Computer Sciences, University of Texas at Austin.
The Necessity of Separating Control and Logic When Grounding Language Using Neuroevolution 2009
Yonatan Bisk, Technical Report HR-09-05, Department of Computer Sciences, The University of Texas at Austin.
Accelerated Neural Evolution through Cooperatively Coevolved Synapses 2008
Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen, Journal of Machine Learning Research (2008), pp. 937-965.
Constructing Complex NPC Behavior via Multi-Objective Neuroevolution 2008
Jacob Schrum and Risto Miikkulainen, In Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2008), pp. 108-113, Stanford, California 2008.
Evolving Controllers for Simulated Car Racing using Neuroevolution 2008
Aravind Gowrisankar, Masters Thesis, Department of Computer Sciences, The University of Texas at Austin. 85 pages.
Evolving Neural Networks for Fractured Domains 2008
Nate Kohl and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1405-1412, July 2008.
Evolving Opponent Models for Texas Hold 'Em 2008
Alan J Lockett and Risto Miikkulainen, In IEEE Conference on Computational Intelligence in Games, Perth, Australia 2008.
Modular Neuroevolution for Multilegged Locomotion 2008
Vinod K. Valsalam and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2008, pp. 265-272, New York, NY, USA 2008. ACM.
Transfer of Evolved Pattern-Based Heuristics in Games 2008
Erkin Bahceci and Risto Miikkulainen, In IEEE Symposium On Computational Intelligence and Games (CIG 2008), pp. 220-227, Perth, Australia, December 2008.
Acquiring Evolvability through Adaptive Representations 2007
Joseph Reisinger and Risto Miikkulainen, In Proceeedings of the Genetic and Evolutionary Computation Conference, pp. 1045-1052 2007.
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution 2007
Bobby D. Bryant and Risto Miikkulainen, In Proceedings of the Twenty-Second National Conference on Artificial Intelligence, Menlo Park, CA 2007. AAAI Press.
Coevolution of Role-Based Cooperation in Multi-Agent Systems 2007
Chern Han Yong and Risto Miikkulainen, Technical Report AI07-338, Department of Computer Sciences, The University of Texas at Austin.
Coevolving Strategies for General Game Playing 2007
Joseph Reisinger, Erkin Bahceci, Igor Karpov and Risto Miikkulainen, In Proceedings of the {IEEE} Symposium on Computational Intelligence and Games, pp. 320-327, Piscataway, NJ 2007. IEEE.
Evolving Explicit Opponent Models for Game Play 2007
Alan Lockett, Charles Chen, and Risto Miikkulainen, In Genetic and Evolutionary Computation Conference (GECCO-2007) 2007.
Coevolution of Neural Networks using a Layered Pareto Archive 2006
German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 329-336, Seattle, Washington, July 2006. New York, NY: ACM Press.
Comparing Evolutionary and Temporal Difference Methods for Reinforcement Learning 2006
Matthew Taylor, Shimon Whiteson, and Peter Stone, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1321-28, July 2006.
Computational Intelligence in Games 2006
Risto Miikkulainen, Bobby D. Bryant, Ryan Cornelius, Igor V. Karpov, Kenneth O. Stanley, and Chern Han Yong, In Computational Intelligence: Principles and Practice, Gary Y. Yen and David B. Fogel (Eds.), Piscataway, NJ 2006. IEEE Computational Intelligence Society.
Creating Intelligent Agents in Games 2006
Risto Miikkulainen, The Bridge (2006), pp. 5-13.
Efficient Non-Linear Control through Neuroevolution 2006
Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen, In Proceedings of the European Conference on Machine Learning, pp. 654-662, Berlin 2006. Springer.
Evolving a Real-World Vehicle Warning System 2006
Nate Kohl, Kenneth Stanley, Risto Miikkulainen, Michael Samples, and Rini Sherony, In Proceedings of the Genetic and Evolutionary Computation Conference 2006.
Evolving Robot Arm Controllers Using the NEAT Neuroevolution Method 2006
Thomas W. D'Silva, Masters Thesis, Department of Electrical and Computer Engineering, The University of Texas at Austin.
Evolving Stochastic Controller Networks for Intelligent Game Agents 2006
Bobby D. Bryant and Risto Miikkulainen, In Proceedings of the 2006 Congress on Evolutionary Computation, Piscataway, NJ 2006. IEEE.
Evolving Visibly Intelligent Behavior for Embedded Game Agents 2006
Bobby D. Bryant, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. Technical Report AI-06-334.
Incorporating Advice into Neuroevolution of Adaptive Agents 2006
Chern Han Yong, Kenneth O. Stanley, Risto Miikkulainen, and Igor V. Karpov, In Proceedings of the Second Artificial Intelligence and Interactive Digital Entertainment Conference, pp. 98-104, Menlo Park, CA 2006. AAAI Press.
Integration and Evaluation of Exploration-Based Learning in Games 2006
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 2006. IEEE.
On-Line Evolutionary Computation for Reinforcement Learning in Stochastic Domains 2006
Shimon Whiteson and Peter Stone, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1577-84, July 2006.
Real-Time Evolution of Neural Networks in the NERO Video Game 2006
Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, Risto Miikkulainen, In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-2006), pp. 1671--1674, Boston, MA 2006. Meno Park, CA: AAAI Press.
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning 2006
Shimon Whiteson and Peter Stone, In {AAAI} 2006: {P}roceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 518-523, July 2006.
Academic AI and Video Games: A Case Study of Incorporating Innovative Academic Research into a Video Game Prototype 2005
Aliza Gold, In Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05) 2005. Piscataway, NJ: IEEE.
Automatic Feature Selection via Neuroevolution 2005
Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, and Nate Kohl, In Proceedings of the Genetic and Evolutionary Computation Conference, June 2005.
Coevolution of Neural Networks Using a Layered Pareto Archive 2005
German A. Monroy, Masters Thesis, Department of Computer Sciences, The University of Texas at Austin.
Constructing Good Learners Using Evolved Pattern Generators 2005
Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2005, H.-G. Beyer and others (Eds.), pp. 11-18 2005.
Evolving Keepaway Soccer Players through Task Decomposition 2005
Shimon Whiteson, Nate Kohl, Risto Miikkulainen, and Peter Stone, Machine Learning, Vol. 59, 1 (2005), pp. 5-30.
Evolving Neural Network Agents in the NERO Video Game 2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen, In Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05), Piscataway, NJ 2005. IEEE.
Evolving Neural Network Ensembles for Control Problems 2005
David Pardoe, Michael Ryoo, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2005.
Improving Prescripted Agent Behavior with Neuroevolution 2005
Ryan Cornelius, Technical Report HR-05-01, Department of Computer Sciences, The University of Texas at Austin.
Incorporating Advice into Evolution of Neural Networks 2005
Chern Han Yong, Kenneth O. Stanley, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2005) 2005. Late Breaking Papers.
Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution 2005
Yiu Fai Sit and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2005.
Neuroevolution of an Automobile Crash Warning System 2005
Kenneth Stanley, Nate Kohl, Rini Sherony, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2005.
Real-Time Learning in the NERO Video Game 2005
Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen, Thomas D'Silva, and Aliza Gold, In Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2005) Demo Papers 2005.
Real-time Neuroevolution in the NERO Video Game 2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen, IEEE Transactions on Evolutionary Computation (2005), pp. 653-668. IEEE.
Retaining Learned Behavior During Real-Time Neuroevolution 2005
Thomas D'Silva, Roy Janik, Michael Chrien, Kenneth O. Stanley and Risto Miikkulainen, Artificial Intelligence and Interactive Digital Entertainment (2005). American Association for Artificial Intelligence.
A Neurocontrol Paradigm for Intelligent Process Control using Evolutionary Reinforcement Learning 2004
Alex van Eck Conradie, PhD Thesis, Department of Chemical Engineering, University of Stellenbosch.
Competitive Coevolution through Evolutionary Complexification 2004
Kenneth O. Stanley and Risto Miikkulainen, Journal of Artificial Intelligence Research, Vol. 21 (2004), pp. 63-100.
Efficient Allele Fitness Assignment with Self-organizing Multi-agent System 2004
Adrian Agogino and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004) Workshop Program, New York, NY 2004. Springer-Verlag.
Efficient Evolution of Neural Networks Through Complexification 2004
Kenneth O. Stanley, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin.
Evolving a Roving Eye for Go 2004
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), Berlin 2004. Springer Verlag.
Evolving Reusable Neural Modules 2004
Joseph Reisinger, Kenneth O. Stanley, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2004.
Exploiting Morphological Conventions for Genetic Reuse 2004
Kenneth O. Stanley, Joseph Reisinger, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference ({GECCO}-2004) Workshop Program, Berlin 2004. Springer Verlag.
Transfer of Neuroevolved Controllers in Unstable Domains 2004
Faustino J. Gomez and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, Berlin 2004. Springer.
A Taxonomy for Artificial Embryogeny 2003
Kenneth O. Stanley and Risto Miikkulainen, Artificial Life, Vol. 9, 2 (2003), pp. 93-130.
Achieving High-Level Functionality through Evolutionary Complexification 2003
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the AAAI-2003 Spring Symposium on Computational Synthesis, Stanford, CA 2003. AAAI Press.
Active Guidance for a Finless Rocket Using Neuroevolution 2003
Faustino J. Gomez and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 2084-2095, San Francisco 2003. Morgan Kaufmann.
Evolving Adaptive Neural Networks with and Without Adaptive Synapses 2003
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen, In Proceedings of the 2003 Congress on Evolutionary Computation, Piscataway, NJ 2003. IEEE.
Neuroevolution for Adaptive Teams 2003
Bobby D. Bryant and Risto Miikkulainen, In Proceedings of the 2003 Congress on Evolutionary Computation (CEC 2003), pp. 2194-2201, Piscataway, NJ 2003. IEEE.
PhD Thesis: Robust Non-Linear Control through Neuroevolution 2003
Faustino J. Gomez, Technical Report AI-TR-03-303, Department of Computer Sciences, University of Texas at Austin.
Robust Non-Linear Control through Neuroevolution 2003
Faustino J. Gomez, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin.
Utilizing Domain Knowledge in Neuroevolution 2003
James Fan, Raymond Lau, and Risto Miikkulainen, Proceedings of the Twentieth International Conference on Machine Learning (ICML-03, Washington, DC)
Adaptive Control Utilising Neural Swarming 2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich, In Proceedings of the Genetic and Evolutionary Computation Conference, William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and Riccardo Poli and Karth...
Continual Coevolution Through Complexification 2002
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and Riccardo Pol...
Cultural Enhancement Of Neuroevolution 2002
Paul H. McQuesten, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. Technical Report AI-02-295.
Efficient Evolution Of Neural Network Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and Riccardo Poli and Karthik...
Efficient Reinforcement Learning Through Evolving Neural Network Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), pp. 9, San Francisco 2002. Morgan Kaufmann.
Evolving Neural Networks Through Augmenting Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen, Evolutionary Computation, Vol. 10, 2 (2002), pp. 99-127.
Intelligent Process Control Utilizing Symbiotic Memetic Neuro-Evolution 2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich, In Proceedings of the 2002 Congress on Evolutionary Computation, pp. 6 2002.
Neuroevolution through Augmenting Topologies Applied to Evolving Neural Networks to Play Othello 2002
Timothy Andersen, Technical Report HR-02-01, Department of Computer Sciences, The University of Texas at Austin.
Numerical Optimization With Neuroevolution 2002
Brian Greer, Henri Hakonen, Risto Lahdelma, and Risto Miikkulainen, In Proceedings of the 2002 Congress on Evolutionary Computation, pp. 361-401, Piscataway, NJ 2002. IEEE. Undergraduate Thesis, Department of Computer Sciences, The University of Texas at Aust...
The Dominance Tournament Method of Monitoring Progress in Coevolution 2002
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference ({GECCO}-2002) Workshop Program, pp. 7, San Francisco 2002. Morgan Kaufmann.
A Neuroevolution Method For Dynamic Resource Allocation On A Chip Multiprocessor 2001
Faustino J. Gomez, Doug Burger, and Risto Miikkulainen, In Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks, pp. 2355-2361, Piscataway, NJ 2001. IEEE.
Applying ESP And Region Specialists To Neuro-Evolution For Go 2001
Andres Santiago Perez-Bergquist, Technical Report TR-01-24, Department of Computer Science, University of Texas at Austin.
Co-Evolving A Go-Playing Neural Network 2001
Alex Lubberts and Risto Miikkulainen, In Coevolution: {T}urning Adaptive Algorithms Upon Themselves, Birds-of-a-Feather Workshop, Genetic and Evolutionary Computation Conference ({GECCO}-2001), pp. 6 2001.
Cooperative Coevolution Of Multi-Agent Systems 2001
Chern Han Yong and Risto Miikkulainen, Technical Report AI07-338, Department of Computer Sciences, The University of Texas at Austin.
Creating Melodies With Evolving Recurrent Neural Networks 2001
Chun-Chi J. Chen and Risto Miikkulainen, In Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks, pp. 2241-2246, Piscataway, NJ 2001. IEEE.
Evolving Populations Of Expert Neural Networks 2001
Joseph Bruce and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 251-257, San Francisco, CA 2001. Morgan Kaufmann.
Numerical Optimization with Neuroevolution 2001
Brian Greer, Technical Report TR-01-49, Department of Computer Science, The University of Texas at Austin.
Automatic Music Composition using Genetic Algorithm and Neural Networks: A Constrained Evolution Approach 2000
Chun-Chi Chen, Technical Report HR-00-02, Department of Computer Sciences, The University of Texas at Austin.
Cooperative Coevolution of Multi-Agent Systems 2000
Chern Han Yong, Technical Report HR-00-01, Department of Computer Sciences, The University of Texas at Austin.
Eugenic Neuro-Evolution For Reinforcement Learning 2000
Daniel Polani and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pp. 1041-1046, San Francisco 2000. Morgan Kaufmann.
Neuro-Evolution And Natural Deduction 2000
Nirav S. Desai and Risto Miikkulainen, In Proceedings of The First {IEEE} Symposium on Combinations of Evolutionary Computation and Neural Networks, pp. 64-69, Piscataway, NJ 2000. IEEE.
Online Interactive Neuro-Evolution 2000
Adrian Agogino, Kenneth O. Stanley, and Risto Miikkulainen, Neural Processing Letters (2000), pp. 29-38.
Solving Non-Markovian Control Tasks With Neuroevolution 1999
Faustino J. Gomez and Risto Miikkulainen, In Proceedings of the International Joint Conference on Artificial Intelligence, pp. 1356-1361, San Francisco, CA 1999. Kaufmann.
2-D Pole Balancing With Recurrent Evolutionary Networks 1998
Faustino Gomez and Risto Miikkulainen, In Proceedings of the International Conference on Artificial Neural Networks (ICANN-98), pp. 425-430, Skovde, Sweden 1998. Berlin, New York: Springer.
Evolving Hierarchical Neural Networks to Play Go 1998
Todd Greer, Technical Report HR-94-01, Department of Computer Science, The University of Texas at Austin.
Evolving Neural Networks To Play Go 1998
Norman Richards, David Moriarty, and Risto Miikkulainen, Applied IntelligenceThomas B{"a}ck (Eds.) (1998), pp. 768-775. San Francisco, CA: Morgan Kaufmann.
Hierarchical Evolution Of Neural Networks 1998
David E. Moriarty and Risto Miikkulainen, In Proceedings of the 1998 IEEE Conference on Evolutionary Computation (ICEC98), pp. 428-433, Anchorage, AK 1998. Piscataway, NJ: IEEE.
Culling And Teaching In Neuro-Evolution 1997
Paul McQuesten and Risto Miikkulainen, In Proceedings of the Seventh International Conference on Genetic Algorithms (ICGA-97, East Lansing, MI), Thomas B{"a}ck (Eds.), pp. 760-767 1997. San Francisco, CA: Morgan Kaufmann.
Forming Neural Networks Through Efficient And Adaptive Coevolution 1997
David E. Moriarty and Risto Miikkulainen, Evolutionary Computation, Vol. 5 (1997), pp. 373--399.
Incremental Evolution Of Complex General Behavior 1997
Faustino Gomez and Risto Miikkulainen, Adaptive Behavior, 5 (1997), pp. 317-342.
Symbiotic Evolution Of Neural Networks In Sequential Decision Tasks 1997
David E. Moriarty, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. 117. Technical Report UT-AI97-257.
Efficient Reinforcement Learning Through Symbiotic Evolution 1996
David E. Moriarty and Risto Miikkulainen, Machine LearningLeslie Pack Kaelbling (Eds.), AI94-224 (1996), pp. 11-32.
Evolving Obstacle Avoidance Behavior In A Robot Arm 1996
David E. Moriarty and Risto Miikkulainen, In From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, Pattie Maes and Maja J. Mataric and Jean-Arcady Meyer and Jordan Pollack an...
Discovering Complex Othello Strategies Through Evolutionary Neural Networks 1995
David E. Moriarty and Risto Miikkulainen, Connection Science, Vol. 7 (1995), pp. 195--209.
Learning Sequential Decision Tasks 1995
David E. Moriarty and Risto Miikkulainen, Technical Report AI95-229, Department of Computer Sciences, The University of Texas at Austin.
Evolutionary Neural Networks For Value Ordering In Constraint Satisfaction Problems 1994
David E. Moriarty and Risto Miikkulainen, Technical Report AI94-218, Department of Computer Sciences, The University of Texas at Austin.
Evolving Neural Networks To Focus Minimax Search 1994
David E. Moriarty and Risto Miikkulainen, In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), pp. 1371-1377, Seattle, WA 1994. Cambridge, MA: MIT Press.
Grounding Robotic Control With Genetic Neural Networks 1994
Diane Law and Risto Miikkulainen, Technical Report AI94-223, Department of Computer Sciences, The University of Texas at Austin.
Searle, Subsymbolic Functionalism And Synthetic Intelligence 1994
Diane Law, Technical Report, Department of Computer Sciences, The University of Texas at Austin. Technical Report AI94-222.
Evolving Finite State Behavior using Marker-Based Genetic Encoding of Neural Networks 1991
Brad Fullmer, Technical Report HR-91-01, Department of Computer Science, The University of Texas at Austin.
Using Marker-Based Genetic Encoding Of Neural Networks To Evolve Finite-State Behaviour 1991
Brad Fullmer and Risto Miikkulainen, In Toward a Practice of Autonomous Systems: {P}roceedings of the First {E}uropean Conference on Artificial Life, Francisco J. Varela and Paul Bourgine (Eds.), pp. 255-262, Cambridge, MA 1991. ...
Projects
     [Expand to show all 33][Minimize]
The Role of Emotion and Communication in Cooperative Behavior 2013 - 2016
Evolving Controllers for Physical Multilegged Robots 2010 - 2011
The OpenNERO AI Research and Education Platform 2009 - Present
Learning Strategic Behavior in Sequential Decision Tasks 2009 - 2014
Coevolution of Competitive and Cooperative Agent Behavior 2009 - Present
Constructing Intelligent Agents in Simulated Worlds 2008 - 2010
Evolving Locomotion Controllers for Multilegged Robots 2008 - 2010
Human-like Bots in Unreal Tournament 2008 - 2012
Utilizing Symmetry in Evolutionary Design 2007 - 2010
NEAT: Evolving Vehicle Warning Systems 2004 - 2006
NERO: NeuroEvolving Robotic Operatives 2003 - 2009
Controlling a Finless Rocket Through Neuroevolution 2002 - 2003
Diverse Behavior in Teams of Homogeneous Agents 2001 - 2007
Refinement and On-Line Adaptation of Neurocontrollers Through Particle swarming 2001 - 2002
Nonlinear, Adaptive Process Control 2001 - 2002
Dynamic Resource Allocation on a Multiprocessor Chip 2000 - 2002
Cooperative Coevolution of Multi-Agent Systems 2000 - 2007
NEAT: Evolving Increasingly Complex Neural Network Topologies 2000 - 2011
Evolving Confident Neural Networks 2000 - 2002
Creating Melodies with Evolving Recurrent Networks 2000 - 2001
Natural Deduction 1999 - 2000
Modeling the Emergence of Syllable Systems 1998 - 2001
Optimizing a Manufacturing Process 1998 - 2002
Utilizing Population Culture in Neuroevolution 1998 - 2000
Eugenic Evolution: The EuA, EuSANE, and TEAM 1998 - 2002
Playing Go 1998 - 2001
Real-time Interactive Gaming 1997 - 1999
Solving Non-Markov Control Tasks 1996 - 2006
Controlling Chaos 1995 - 1997
Symbiotic Evolution: The SANE System 1994 - 1997
Robot Control 1994 - 1997
Playing Othello 1994 - 1997
Marker-Based Encoding of Neural Networks 1991 - 1995
Software/Data
     [Expand to show all 22][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
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
Demos
     [Expand to show all 25][Minimize]
Multimodal Behavior in Isolated Ms. Pac-ManJacob Schrum2015
Bilevel Optimization of the Helicopter Hovering Control TaskJason Zhi Liang and Risto Miikkulainen2015
Multimodal Behavior in Imprison Ms. Pac-ManJacob Schrum2014
Multimodal Behavior in One Life Ms. Pac-ManJacob Schrum2014
Multimodal Behavior in Multiple Lives Ms. Pac-ManJacob Schrum2014
Trading Control Intelligence for Physical Intelligence: Muscle Drives in Evolved Virtual CreaturesDan Lessin, Don Fussell, Risto Miikkulainen2014
Adapting Morphology to Multiple Tasks in Evolved Virtual CreaturesDan Lessin, Don Fussell, Risto Miikkulainen2014
A Neuroevolution Approach to General Atari Game PlayingMatthew Hausknecht2013
Open-Ended Behavioral Complexity for Evolved Virtual CreaturesDan Lessin, Don Fussell, Risto Miikkulainen2013
UT^2: Winner of 2012 BotPrize in Unreal Tournament 2004Jacob Schrum, Igor Karpov2012
Multi-modal Approaches to Evolving Behavior for Multi-task GamesJacob Schrum2011
Evolving Controllers for Physical Multilegged RobotsVinod Valsalam2011
Fitness-based Shaping in Multi-objective DomainsJacob Schrum2010
Evolving Controller Symmetry for Multilegged RobotsVinod Valsalam2010
Multi-modal Behavior in NPCsJacob Schrum2009
Learning in Fractured DomainsNate Kohl2009
Multi-objective Neuroevolution of NPCsJacob Schrum2008
Modular Neuroevolution for Multilegged LocomotionVinod Valsalam2008
Evolving Cooperation in Multiagent SystemsChern Yong2007
Neuro-Evolving Robotic Operatives (NERO)Kenneth Stanley2007
Adaptive Teams of Agents in the Legion II gameBobby Bryant2006
Evolving Vehicle Warning SystemsNate Kohl2006
Finless Rocket ControlFaustino Gomez2003
Neuroevolution of Augmenting Topologies DemosKenneth Stanley2003
Double Pole Balancing with ESPFaustino Gomez1999
Labs
Neural Networks Learning Agents