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. Research in this area involves learning to play traditional games such as Othello and Go, on learning general game playing, and on developing intelligent behaviors for non-player characters in video games.
Adrian Agogino Collaborator adrian@email.arc.nasa.gov
Timothy Andersen Undergraduate Student (Alumni) andert@rpi.edu
Bobby Bryant Ph.D. Student (Alumni) bdbryant@cse.unr.edu
Ryan Cornelius Undergraduate Student (Alumni) rccorn@gmail.com
Aliza Gold Collaborator aliza@icc.utexas.edu
Todd Greer Undergraduate Student (Alumni)
Igor V. Karpov Ph.D. Student ikarpov@cs.utexas.edu
Alex Lubberts visitor
Risto Miikkulainen Professor risto@cs.utexas.edu
German Monroy Masters Student (Alumni) gmonroy@cs.utexas.edu
David E. Moriarty Ph.D. Student (Alumni) moriarty@alumni.utexas.net
Daniel Polani Postdoc (Alumni) d.polani@herts.ac.uk
Joseph Reisinger Alumni joeraii@cs.utexas.edu
Norman Richards Undergraduate Student (Alumni) orb@toki.dhs.org
Jacob Schrum Ph.D. Student schrum2@cs.utexas.edu
Kenneth Stanley Postdoc (Alumni) kstanley@cs.ucf.edu
Shimon Whiteson Alumni (Alumni) s.a.whiteson@uva.nl
Chern Han Yong Masters Student (Alumni) cherny@nus.edu.sg
IJCNN-2013 Tutorial on Evolution of Neural Networks 2013
Risto Miikkulainen
Believable Bot Navigation via Playback of Human Traces 2012
Igor V. Karpov, Jacob Schrum, Risto Miikkulainen
Evaluating Modular Neuroevolution in Robotic Keepaway Soccer 2012
Anand Subramoney
Evaluation Methods for Active Human-Guided Neuroevolution in Games 2012
Igor Karpov, Leif Johnson, Vinod Valsalam and Risto Miikkulainen
Evolving Multimodal Networks for Multitask Games 2012
Jacob Schrum and Risto Miikkulainen
Humanlike Combat Behavior via Multiobjective Neuroevolution 2012
Jacob Schrum, Igor V. Karpov and Risto Miikkulainen
HyperNEAT-GGP: A HyperNEAT-based Atari General Game Player 2012
Matthew Hausknecht, Piyush Khandelwal, Risto Miikkulainen, Peter Stone
Multiagent Learning through Neuroevolution 2012
Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, and Wesley Tansey
Assisting Machine Learning Through Shaping, Advice and Examples 2011
Igor Karpov, Vinod Valsalam and Risto Miikkulainen
Creating Intelligent Agents through Shaping of Coevolution 2011
Adam Dziuk and Risto Miikkulainen
Evolving Multimodal Networks for Multitask Games 2011
Jacob Schrum and Risto Miikkulainen
Human-Assisted Neuroevolution Through Shaping, Advice and Examples 2011
Igor V. Karpov, Vinod K. Valsalam and Risto Miikkulainen
UT^2: Human-like Behavior via Neuroevolution of Combat Behavior and Replay of Human Traces 2011
Jacob Schrum, Igor V. Karpov and Risto Miikkulainen
Coevolution of Role-Based Cooperation in Multi-Agent Systems 2010
Chern Han Yong and Risto Miikkulainen
Evolving Controllers for Simulated Car Racing using Neuroevolution 2008
Aravind Gowrisankar
Evolving Opponent Models for Texas Hold 'Em 2008
Alan J Lockett and Risto Miikkulainen
Transfer of Evolved Pattern-Based Heuristics in Games 2008
Erkin Bahceci and Risto Miikkulainen
Acquiring Evolvability through Adaptive Representations 2007
Joseph Reisinger and Risto Miikkulainen
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution 2007
Bobby D. Bryant and Risto Miikkulainen
Coevolving Strategies for General Game Playing 2007
Joseph Reisinger, Erkin Bahceci, Igor Karpov and Risto Miikkulainen
Coevolution of Neural Networks using a Layered Pareto Archive 2006
German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen
Computational Intelligence in Games 2006
Risto Miikkulainen, Bobby D. Bryant, Ryan Cornelius, Igor V. Karpov, Kenneth O. Stanley, and Chern Han Yong
Creating Intelligent Agents in Games 2006
Risto Miikkulainen
Evolving Stochastic Controller Networks for Intelligent Game Agents 2006
Bobby D. Bryant and Risto Miikkulainen
Evolving Visibly Intelligent Behavior for Embedded Game Agents 2006
Bobby D. Bryant
Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents 2006
Bobby D. Bryant and Risto Miikkulainen
Integration and Evaluation of Exploration-Based Learning in Games 2006
Igor V. Karpov, Thomas D'Silva, Craig Varrichio, Kenneth O. Stanley, Risto Miikkulainen
Academic AI and Video Games: A Case Study of Incorporating Innovative Academic Research into a Video Game Prototype 2005
Aliza Gold
Coevolution of Neural Networks Using a Layered Pareto Archive 2005
German A. Monroy
Evolving Keepaway Soccer Players through Task Decomposition 2005
Shimon Whiteson and Nate Kohl and Risto Miikkulainen and Peter Stone
Evolving Neural Network Agents in the NERO Video Game 2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen
Incorporating Advice into Evolution of Neural Networks 2005
Chern Han Yong, Kenneth O. Stanley, and Risto Miikkulainen
Real-Time Learning in the NERO Video Game 2005
Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen, Thomas D'Silva, and Aliza Gold
Real-time Neuroevolution in the NERO Video Game 2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen
Retaining Learned Behavior During Real-Time Neuroevolution 2005
Thomas D'Silva, Roy Janik, Michael Chrien, Kenneth O. Stanley and Risto Miikkulainen
Efficient Evolution of Neural Networks Through Complexification 2004
Kenneth O. Stanley
Evolving a Roving Eye for Go 2004
Kenneth O. Stanley and Risto Miikkulainen
Neuroevolution for Adaptive Teams 2003
Bobby D. Bryant and Risto Miikkulainen
Applying ESP And Region Specialists To Neuro-Evolution For Go 2001
Andres Santiago Perez-Bergquist
Co-Evolving A Go-Playing Neural Network 2001
Alex Lubberts and Risto Miikkulainen
Online Interactive Neuro-Evolution 2000
Adrian Agogino, Kenneth O. Stanley, and Risto Miikkulainen
Evolving Neural Networks To Play Go 1998
Norman Richards, David Moriarty, and Risto Miikkulainen
Symbiotic Evolution Of Neural Networks In Sequential Decision Tasks 1997
David E. Moriarty
Discovering Complex Othello Strategies Through Evolutionary Neural Networks 1995
David E. Moriarty and Risto Miikkulainen
Learning Sequential Decision Tasks 1995
David E. Moriarty and Risto Miikkulainen
Evolving Neural Networks To Focus Minimax Search 1994
David E. Moriarty and Risto Miikkulainen
UT^2: Winning Botprize 2012 Entry The Botprize Competition is an annual competition to program bots that appear human-l... 2012

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