activity
20182024
most citedMastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning

153 citations · 543 across the 34 of their papers we have counts for

collaborators

35 papers

cs.GT2024

Sample-Efficient Regret-Minimizing Double Oracle in Extensive-Form Games

Xiaohang Tang, Chiyuan Wang, Chengdong Ma +3

Extensive-Form Game (EFG) represents a fundamental model for analyzing sequential interactions among multiple agents and the primary challenge to solve it lies in mitigating sample…

cs.AI2023★ 76 cited

AI Alignment: A Comprehensive Survey

Jiaming Ji, Tianyi Qiu, Boyuan Chen +23

AI alignment aims to make AI systems behave in line with human intentions and values. As AI systems grow more capable, so do risks from misalignment. To provide a comprehensive and…

cs.AI2023★ 2 cited

JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games

Yang Li, Kun Xiong, Yingping Zhang +6

This paper presents an empirical exploration of non-transitivity in perfect-information games, specifically focusing on Xiangqi, a traditional Chinese board game comparable in game…

cs.GT2023★ 1 cited

Policy Space Diversity for Non-Transitive Games

Jian Yao, Weiming Liu, Haobo Fu +4

Policy-Space Response Oracles (PSRO) is an influential algorithm framework for approximating a Nash Equilibrium (NE) in multi-agent non-transitive games. Many previous studies have…

cs.GT2023

Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games

Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides +7

We introduce a new approach for computing optimal equilibria via learning in games. It applies to extensive-form settings with any number of players, including mechanism design, in…

cs.GT2023

Regret-Minimizing Double Oracle for Extensive-Form Games

Xiaohang Tang, Le Cong Dinh, Stephen Marcus McAleer +1

By incorporating regret minimization, double oracle methods have demonstrated rapid convergence to Nash Equilibrium (NE) in normal-form games and extensive-form games, through algo…