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SRG paper wins Best Paper Award at ALA 2024 workshop

The paper titled "A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning," authored by Zun Li, while he was a PhD student with SRG, and Michael Wellman just won the best paper award at the 16th Adaptive and Learning Agents…

A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning

Z Li and MP Wellman 33rd International Joint Conference on Artificial Intelligence (IJCAI), August 2024. Forthcoming. Best Paper Award at 16th Adaptive and Learning Agents (ALA) Workshop at AAMAS, May 2024. Abstract Evaluating deep multiagent…

Co-Learning Empirical Games and World Models

MO Smith and MP Wellman 1st Reinforcement Learning Conference (RLC), August 2024. Forthcoming. Abstract Game-based decision-making involves reasoning over both world dynamics and strategic interactions among the agents. Typically, empirical…

Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis

Y Wang and MP Wellman 23nd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), May 2024. Forthcoming. Abstract In the policy-space response oracle (PSRO) framework, strategy sets defining an empirical game are iteratively…

Strategic Knowledge Transfer

MO Smith, T Anthony, MP Wellman Journal of Machine Learning Research (JMLR), 24(233):1−96, August 2023. Abstract In the course of playing or solving a game, it is common to face a series of changing other-agent strategies. These strategies…

Learning to play against any mixture of opponents

MO Smith, T Anthony, MP Wellman Frontiers of Artificial Intelligence (Sec. Machine Learning and Artificial Intelligence), Volume 6, July 2023. Abstract Intuitively, experience playing against one mixture of opponents in a given domain should…

Empirical Game-Theoretic Analysis for Mean Field Games

Y Wang and MP Wellman 22nd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp. 1025–1033, June 2023. Abstract We present a simulation-based approach for solution of mean field games (MFGs), using the framework…
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Yongzhao finishes as CSE Graduate Honors Runner-up

Yongzhao Wang was one of the runners-up from the AI lab in the lead-up to the 19th Annual CSE Graduate Honors Competition. He gave a short presentation on his research titled "Multi-Agent Learning by Iterative Refinement of Game Models" at…

Solving Structured Hierarchical Games Using Differential Backward Induction

Z Li, F Jia, A Mate, S Jabbari, M Chakraborty, M Tambe, and Y Vorobeychik 38th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 180: pp. 1107–1117, August 2022 Previous version presented at ICLR Workshop on Gamification…