Agent Modeling in Multiagent Systems
In multiagent systems, when the other agents are initially unknown, it can be useful to build a model of their behaviors so as to predict their future actions. This can apply to teammates, opponents, and agents with unrelated goals that act in the same environment.
Tsz-Chiu Au Postdoctoral Alumni chiu [at] cs utexas edu
Elad Liebman Ph.D. Student eladlieb [at] cs utexas edu
Peter Stone Faculty pstone [at] cs utexas edu
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Communicating with Unknown Teammates 2013
Samuel Barrett, Noa Agmon, Noam Hazon, Sarit Kraus, and Peter Stone, In AAMAS Adaptive Learning Agents (ALA) Workshop, May 2013.
Teamwork with Limited Knowledge of Teammates 2013
Samuel Barrett, Peter Stone, Sarit Kraus, and Avi Rosenfeld, In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence , July 2013.
Learning Teammate Models for Ad Hoc Teamwork 2012
Samuel Barrett, Peter Stone, Sarit Kraus, and Avi Rosenfeld, In AAMAS Adaptive Learning Agents (ALA) Workshop, June 2012.
Empirical Evaluation of Ad Hoc Teamwork in the Pursuit Domain 2011
Samuel Barrett, Peter Stone, and Sarit Kraus, Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011) (2011).
Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree 2011
Doran Chakraborty and Peter Stone, In Proceedings of the Twenty Eighth International Conference on Machine Learning (ICML'11), June 2011.
Convergence, Targeted Optimality and Safety in Multiagent Learning 2010
Doran Chakraborty and Peter Stone, In Proceedings of the Twenty-seventh International Conference on Machine Learning (ICML 2010), June 2010.
Online Model Learning in Adversarial Markov Decision Processes (Extended Abstract) 2010
Doran Chakraborty and Peter Stone, In Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 1583–-1584, May 2010.
Leading a Best-Response Teammate in an Ad Hoc Team 2009
Peter Stone, Gal A. Kaminka, and Jeffrey S. Rosenschein, In {AAMAS} Workshop on Agent Mediated Electronic Commerce, pp. 153-167, May 2009.
Know Thine Enemy: A Champion RoboCup Coach Agent 2006
Gregory Kuhlmann, William B. Knox, and Peter Stone, In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1463-68, July 2006.
The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach 2005
Gregory Kuhlmann, Peter Stone, and Justin Lallinger, In RoboCup-2004: Robot Soccer World Cup VIII, Daniele Nardi and Martin Riedmiller and Claude Sammut (Eds.), Vol. 3276, pp. 636-644, Berlin 2005. Springer Verlag.
Defining and Using Ideal Teammate and Opponent Models 2000
Peter Stone, Patrick Riley, and Manuela Veloso, In Proceedings of the Twelfth Annual Conference on Innovative Applications of Artificial Intelligence 2000.