Multiagent Systems
As autonomous agents proliferate in the real world, it becomes increasingly important to consider their interactions. Distinct agents may be teammates, opponents, or have unrelated goals. Game theory is a powerful tool for considering relatively small-scale interactions. Different tools are needed for more complex systems.
Subareas:
People
Erkin Bahceci Ph.D. Alumni erkin [at] cs utexas edu
Elad Liebman Ph.D. Student eladlieb [at] cs utexas edu
Sanmit Narvekar Ph.D. Student sanmit [at] cs utexas edu
Jacob Schrum Ph.D. Alumni schrum2 [at] southwestern edu
Peter Stone Faculty pstone [at] cs utexas edu
Publications
     [Expand to show all 78][Minimize]
DM$^2$: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching 2023
Caroline Wang, Ishan Durugkar, Elad Liebman, and Peter Stone, In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, D.C., February 2023.
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways 2023
Jinsoo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, and Peter Stone, In Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023), London, England, May 2023.
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.
A Survey of Ad Hoc Teamwork Research 2022
Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Eliott Fosong, William Macke, Mohan Sridharan, Peter Stone, and Stefano Albrecht, In The 19th European Conference on Multi-Agent Systems (EUMAS), Dusseldorf, Germany, September 2022.
Quantifying Human Rationality in Ad-hoc Teamwork 2022
Yair Hanina, Reuth Mirsky, William Macke, and Peter Stone, In AAMAS workshop on Autonomous Robots and Multirobot Systems (ARMS), Online, May 2022.
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings 2022
Kingsley Nweye, Bo Liu, Nagy Zoltan, and Peter Stone, Journal of Energy and AI, 2022 (2022).
Expected Value of Communication for Planning in Ad Hoc Teamwork 2021
William Macke, Reuth Mirsky, and Peter Stone, In Proceedings of the 35th Conference on Artificial Intelligence (AAAI), February 2021.
Intelligent Disobedience and AI Rebel Agents in Assistive Robotics 2021
Reuth Mirsky and Peter Stone, In ASIMOV workshop as part of the International Conference on Intelligent Robots and Systems (IROS), Virtual, November 2021.
Multiagent Epidemiologic Inference through Realtime Contact Tracing 2021
Guni Sharon, James Ault, Peter Stone, Varun Kompella, and Roberto Capobianco, In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2021), London, UK, May 2021.
Reasoning about Human Behavior in Ad Hoc Teamwork 2021
Jennifer Suriadinata, William Macke, Reuth Mirsky, and Peter Stone, In Adaptive and learning Agents Workshop at AAMAS 2021, May 2021.
The Seeing-Eye Robot Grand Challenge: Rethinking Automated Care 2021
Reuth Mirsky and Peter Stone, In Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), Online, May 2021.
A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork 2020
Reuth Mirsky, William Macke, Andy Wang, Harel Yedidsion, and Peter Stone, In Proceedings of the 29th International Joint Conference on Artificial Intelligence, Yokohama, Japan, January 2020.
Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning 2020
Ishan Durugkar, Elad Liebman, and Peter Stone, Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020) (2020).
Using Human-Inspired Signals to Disambiguate Navigational Intentions 2020
Justin Hart, Reuth Mirsky, Xuesu Xiao, Stone Tejeda, Bonny Mahajan, Jamin Goo, Kathryn Baldauf, Sydney Owen, and Peter Stone, In Proceedings of the 12th International Conference on Social Robotics (ICSR), Golden, Colorado, November 2020.
Ad hoc Teamwork with Behavior Switching Agents 2019
Manish Ravula, Shani Alkobi, and Peter Stone, International Joint Conference on Artificial Intelligence (IJCAI) (2019).
UT Austin Villa: RoboCup 2018 3D Simulation League Champions 2019
Patrick MacAlpine, Faraz Torabi, Brahma Pavse, John Sigmon and Peter Stone, In RoboCup 2018: Robot Soccer World Cup XXII, Dirk Holz and Katie Genter and Maarouf Saad and Oskar von Stryk (Eds.) 2019. Springer.
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.
Overlapping Layered Learning 2018
Patrick MacAlpine and Peter Stone, Artificial Intelligence, Vol. 254 (2018), pp. 21--43. Elsevier.
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.
A Protocol for Mixed Autonomous and Human-Operated Vehicles at Intersections 2017
Guni Sharon and Peter Stone, In Proceedings of the 2nd International Workshop on Agent-based modeling of urban systems (ABMUS-2017), Sao Paulo, Brazil, May 2017.
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.
UT Austin Villa: RoboCup 2017 3D Simulation League Competition and Technical Challenges Champions 2017
Patrick MacAlpine and Peter Stone, In {R}obo{C}up 2017: Robot Soccer World Cup {XXI}, Claude Sammut and Oliver Obst and Flavio Tonidandel and Hidehisa Akyama (Eds.) 2017. Springer.
Ad Hoc Teamwork Behaviors for Influencing a Flock 2016
Katie Genter and Peter Stone, Acta Polytechnica (2016).
Adding Influencing Agents to a Flock 2016
Katie Genter and Peter Stone, In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-16), Singapore, Singapore, May 2016.
An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis 2016
Daniel Urieli and Peter Stone, In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2016.
Autonomous Electricity Trading using Time-Of-Use Tariffs in a Competitive Market 2016
Daniel Urieli and Peter Stone, In Proceedings of the 30th Conference on Artificial Intelligence (AAAI 2016), Phoenix, AZ, USA, February 2016.
Making Friends on the Fly: Cooperating with New Teammates 2016
Samuel Barrett, Avi Rosenfeld, Sarit Kraus, and Peter Stone, Artificial Intelligence (2016).
Prioritized Role Assignment for Marking 2016
Patrick MacAlpine and Peter Stone, In {R}obo{C}up 2016: Robot Soccer World Cup {XX}, Sven Behnke and Daniel D. Lee and Sanem Sariel and Raymond Sheh (Eds.), Berlin 2016. Springer Verlag.
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.
UT Austin Villa RoboCup 3D Simulation Base Code Release 2016
Patrick MacAlpine and Peter Stone, In {R}obo{C}up 2016: Robot Soccer World Cup {XX}, Sven Behnke and Daniel D. Lee and Sanem Sariel and Raymond Sheh (Eds.), Berlin 2016. Springer Verlag.
UT Austin Villa: RoboCup 2015 3D Simulation League Competition and Technical Challenges Champions 2016
Patrick MacAlpine, Josiah Hanna, Jason Liang, and Peter Stone, In {R}obo{C}up-2015: Robot Soccer World Cup {XIX}, Luis Almeida and Jianmin Ji and Gerald Steinbauer and Sean Luke (Eds.), Berlin, Germany 2016. Springer Verlag.
UT Austin Villa: RoboCup 2016 3D Simulation League Competition and Technical Challenges Champions 2016
Patrick MacAlpine and Peter Stone, In {R}obo{C}up 2016: Robot Soccer World Cup {XX}, Sven Behnke and Daniel D. Lee and Sanem Sariel and Raymond Sheh (Eds.) 2016. Springer.
Autonomous Trading in Modern Electricity Markets 2015
Daniel Urieli, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. Code and binaries available at: http://www.cs.utexas.edu/~urieli/thesis.
Benchmarking Robot Cooperation without Pre-Coordination in the RoboCup Standard Platform League Drop-In Player Competition 2015
Katie Genter, Tim Laue, and Peter Stone, In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-15), Hamburg, Germany, September 2015.
Cooperating with Unknown Teammates in Complex Domains: A Robot Soccer Case Study of Ad Hoc Teamwork 2015
Samuel Barrett and Peter Stone, In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 2015.
Determining Placements of Influencing Agents in a Flock 2015
Katie Genter, Shun Zhang, and Peter Stone, In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS-15), Istanbul, Turkey, May 2015.
Keyframe Sampling, Optimization, and Behavior Integration: Towards Long-Distance Kicking in the RoboCup 3D Simulation League 2015
Mike Depinet, Patrick MacAlpine, and Peter Stone, In {R}obo{C}up-2014: Robot Soccer World Cup {XVIII}, H. Levent Akin and Reinaldo A. C. Bianchi and Subramanian Ramamoorthy and Komei Sugiura (Eds.) 2015. Springer Verlag.
SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-makespan for Formational Positioning 2015
Patrick MacAlpine, Eric Price, and Peter Stone, In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), January 2015.
UT Austin Villa 2014: RoboCup 3D Simulation League Champion via Overlapping Layered Learning 2015
Patrick MacAlpine, Mike Depinet, and Peter Stone, In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), January 2015.
UT Austin Villa: RoboCup 2014 3D Simulation League Competition and Technical Challenge Champions 2015
Patrick MacAlpine, Mike Depinet, Jason Liang, and Peter Stone, In {R}obo{C}up-2014: Robot Soccer World Cup {XVIII}, H. Levent Akin and Reinaldo A. C. Bianchi and Subramanian Ramamoorthy and Komei Sugiura (Eds.) 2015. Springer Verlag.
Communicating with Unknown Teammates 2014
Samuel Barrett, Noa Agmon, Noam Hazon, Sarit Kraus, and Peter Stone, In Proceedings of the Twenty-First European Conference on Artificial Intelligence, August 2014.
Cooperating with Unknown Teammates in Robot Soccer 2014
Samuel Barrett and Peter Stone, In AAMAS Autonomous Robots and Multirobot Systems Workshop (ARMS 2014), May 2014.
Cooperating with Unknown Teammates in Robot Soccer 2014
Samuel Barrett and Peter Stone, In AAAI Workshop on Multiagent Interaction without Prior Coordination (MIPC 2014), July 2014.
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.
SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-makespan for Formational Positioning 2014
Patrick MacAlpine, Eric Price, and Peter Stone, In Proc. of 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2014. Accompanying videos at
Projects
Autonomous Intersection Management (AIM) 2004 - Present
Demos
Fitness-based Shaping in Multi-objective DomainsJacob Schrum2010
Simulated RoboCup Soccer2004
Autonomous Intersection Management (AIM)
Labs
Learning Agents