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), pages 148-156, August 2024.
earlier version won Best Paper Award at 16th Adaptive and Learning Agents (ALA) Workshop at AAMAS, May 2024.
Abstract
Evaluating…
Zun Li defends dissertation
On 17 January 2024, Zun Li successfully defended his PhD dissertation titled, "Artificial Intelligence Algorithms for Large Economic and Computer Games."
Thanks to the dissertation committee members:
Michael Wellman (chair)
…
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…
Zun Li defends dissertation proposal
On 27 April 2022, Zun Li presented and successfully defended his dissertation proposal titled "A Modern AI Approach to Strategic Reasoning over Complex Multiagent Systems".
The dissertation committee comprises:
Michael Wellman [chair]
…
Evolution Strategies for Approximate Solution of Bayesian Games
Z Li and MP Wellman
35th AAAI Conference on Artificial Intelligence, pages 5531-5540, Feb 2021.
Abstract
We address the problem of solving complex Bayesian games, characterized by high-dimensional type and action spaces, many (> 2) players,…
Structure learning for approximate solution of many-player games
Z Li and MP Wellman
34th AAAI Conference on Artificial Intelligence, pages 2119-2127, Feb 2020.
Abstract
Games with many players are difficult to solve or even specify without adopting structural assumptions that enable representation in…
Bounding regret in empirical games
S Jecmen, A Sinha, Z Li, L Tran-Thanh
34th AAAI Conference on Artificial Intelligence (AAAI), 2020.
Abstract
Empirical game-theoretic analysis refers to a set of models and techniques for solving large-scale games. However, there is a lack…