Game Theory
Game theory is an elegant abstraction of multiagent interaction that can apply to both adversarial and cooperative settings (or any degree of goal alignment in between). Computer science brings the perspective of characterizing the computational complexity of finding various types of equilibria or other high-utility behavior.
People
Tsz-Chiu Au Postdoctoral Alumni chiu [at] cs utexas edu
Elad Liebman Ph.D. Student eladlieb [at] cs utexas edu
Guni Sharon Postdoctoral Fellow gunisharon [at] gmail com
Peter Stone Faculty pstone [at] cs utexas edu
Publications
     [Expand to show all 13][Minimize]
MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection 2023
Jiaxun Cui, Xiaomeng Yang, Mulong Luo, Geunbae Lee, Peter Stone, Hsien-Hsin S. Lee, Benjamin Lee, G. Edward Suh, Wenjie Xiong, and Yuandong Tian, In The Eleventh International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 2023.
DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation 2018
Haipeng Chen, Bo An, Guni Sharon, Josiah Hanna, Peter Stone, Chunyan Miao, and Yeng Chai Soh, In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2018.
Traffic Optimization For a Mixture of Self-interested and Compliant Agents 2018
Guni Sharon, Michael Albert, Tarun Rambha, Stephen Boyles, and Peter Stone, In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2018.
Automated Design of Robust Mechanisms 2017
Michael Albert, Vincent Conitzer, and Peter Stone, In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, CA, USA, February 2017.
Mechanism Design with Unknown Correlated Distributions: Can We Learn Optimal Mechanisms? 2017
Michael Albert, Vincent Conitzer, and Peter Stone, In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS-17), Sau Paulo, Brazil, May 2017.
Network-wide adaptive tolling for connected and automated vehicles 2017
Guni Sharon, Michael W. Levin, Josiah P. Hanna, Tarun Rambha, Stephen D. Boyles, and Peter Stone, Transportation Research Part C, Vol. 84 (2017), pp. 142--157.
Real-time Adaptive Tolling Scheme for Optimized Social Welfare in Traffic Networks 2017
Guni Sharon, Josiah P. Hanna, Tarun Rambha, Michael W. Levin, Michael Albert, Stephen D. Boyles, and Peter Stone, In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2017), Sao Paulo, Brazil, May 2017.
Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput 2016
Guni Sharon, Josiah Hanna, Tarun Rambha, Michael Albert, Peter Stone, and Stephen D. Boyles, In Proceedings of the 9th International Workshop on Agents in Traffic and Transportation (ATT 2016), New York, NY, USA, July 2016.
Robust Automated Mechanism Design 2016
Michael Albert, Vincent Conitzer, and Peter Stone, In Proceedings of the EC 2016 2nd Algorithmic Game Theory and Data Science Workshop, Netherlands, July 2016.
Modeling Uncertainty in Leading Ad Hoc Teams 2014
Noa Agmon, Samuel Barrett, and Peter Stone, In Proc. of 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2014.
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.
A Polynomial-time Nash Equilibrium Algorithm for Repeated Games 2005
Michael L. Littman and Peter Stone, Decision Support Systems, Vol. 39 (2005), pp. 55-66.
Implicit Negotiation in Repeated Games 2001
Michael L. Littman and Peter Stone, In Proceedings of The Eighth International Workshop on Agent Theories, Architectures, and Languages (ATAL-2001), pp. 393-404, August 2001.
Labs
Learning Agents