neural networks research group
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Multiobjective Optimization
Instead of finding a single optimal solution to any given problem, multiobjective methods aim at finding a Pareto-front, which represents all of the trade-offs between objectives within the domain. A human decision maker can then decide which of the available trade-offs works best. Our work in this area focuses on generating multi-modal behavior, as well as maintaining diversity using multiobjective approaches.
Publications
     [Expand to show all 19][Minimize]
Neuroevolution Risto Miikkulainen To Appear In Dinh Phung, Claude Sammut and Geoffrey I. Webb, editors, Encyclopedia of Machine Lea... 2022
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
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
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
Enhanced Optimization with Composite Objectives and Novelty Selection Hormoz Shahrzad, Daniel Fink and Risto Miikkulainen In Proceedings of the 2018 Conference on Artificial Life, Tokyo, Japan, 2018. 2018
Discovering Evolutionary Stepping Stones through Behavior Domination Elliot Meyerson and Risto Miikkulainen To Appear In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2017),... 2017
Evolutionary Decomposition for 3D Printing Eric A. Yu, Jin Yeom, Cem C. Tutum, Etienne Vouga, Risto Miikkulainen To Appear In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2017) (Bes... 2017
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
Neuroevolution Risto Miikkulainen In Sammut, C. and Webb, G. I., editors, Encyclopedia of Machine Learning, 2nd Edition, Berlin... 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
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
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
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
Evolving Multimodal Networks for Multitask Games Jacob Schrum and Risto Miikkulainen In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), 102... 2011
Evolving 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
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
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
MARLEDA: Effective Distribution Estimation Through Markov Random Fields Matthew Alden PhD Thesis, Department of Computer Sciences, the University of Texas at Austin, Austin, Texas, 2007.... 2007
People
Olivier Francon Collaborator olivier francon [at] cognizant com
Jacob Schrum Ph.D. Alumni schrum2 [at] southwestern edu
Cem C Tutum Former Research Scientist tutum [at] cs utexas edu
Projects
The Role of Emotion and Communication in Cooperative Behavior 2013 - 2016
Learning Strategic Behavior in Sequential Decision Tasks 2009 - 2014
Demos
Multimodal Behavior in Isolated Ms. Pac-Man Jacob Schrum 2015
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
UT^2: Winner of 2012 BotPrize in Unreal Tournament 2004 Jacob Schrum, Igor Karpov 2012
Multi-modal Approaches to Evolving Behavior for Multi-task Games Jacob Schrum 2011
Fitness-based Shaping in Multi-objective Domains Jacob Schrum 2010
Multi-modal Behavior in NPCs Jacob Schrum 2009
Multi-objective Neuroevolution of NPCs Jacob Schrum 2008
Software/Data
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
BREVE Monsters BREVE is a system for designing Artificial Life simulations available at http://spiderlan... 2010
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