Game Playing
Games constitute an effective platform for developing and testing artificial intelligence techniques: they are well defined and easy to implement, yet challenging and fun. Our work in this area involves learning to play traditional games such as Othello and Go, on learning general game playing, and most recently, on developing intelligent behaviors for non-player characters in video games.
     [Expand to show all 57][Minimize]
Evolving Multimodal Behavior With Modular Neural Networks in Ms. Pac-Man Jacob Schrum and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), 325--332,... 2014

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

     [Expand to show all 28][Minimize]
Adrian Agogino Former Collaborator adrian k agogino [at] nasa gov
Timothy D. Andersen Undergraduate Alumni andert [at] alum rpi edu
Julian Bishop Ph.D. Student julian [at] cs utexas edu
Bobby D. Bryant Ph.D. Alumni bdbryant [at] cse unr edu
Chris Bush Undergraduate Alumni
Ryan Cornelius Undergraduate Alumni
James Craver Undergraduate Alumni
Matthew de Wet Undergraduate Alumni
Adam C. Dziuk Undergraduate Alumni
Aliza Gold Former Collaborator
Todd Greer Undergraduate Alumni
Matthew Johnston Undergraduate Alumni
Igor V. Karpov Ph.D. Student ikarpov [at] gmail com
Nate Kohl Ph.D. Alumni nate [at] natekohl net
Joel Lehman Postdoctoral Fellow joel [at] cs utexas edu
Dan Lessin Ph.D. Student dlessin [at] cs utexas edu
Alex Lubberts Former Visitor
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
Daniel Polani Postdoctoral Alumni d polani [at] herts ac uk
Joseph Reisinger Former Ph.D. Student joeraii [at] cs utexas edu
Norman Richards Undergraduate Alumni orb [at] toki dhs org
Jacob Schrum Ph.D. Alumni schrum2 [at] southwestern edu
Kenneth Stanley Postdoctoral Alumni kstanley [at] cs ucf edu
Anand Subramoney Masters Alumni anands [at] cs utexas edu
Shimon Whiteson Former Collaborator s a whiteson [at] uva nl
Chern Han Yong Masters Alumni cherny [at] nus edu sg
MM-NEAT Modular Multiobjective NEAT is a software framework in Java that builds on the basic principles of 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

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