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cs.LG2024
Preference-Based Multi-Agent Reinforcement Learning: Data Coverage and Algorithmic Techniques
Natalia Zhang, Xinqi Wang, Qiwen Cui +3
We initiate the study of Preference-Based Multi-Agent Reinforcement Learning (PbMARL), exploring both theoretical foundations and empirical validations. We define the task as ident…
cs.GT2024
Learning Optimal Tax Design in Nonatomic Congestion Games
Qiwen Cui, Maryam Fazel, Simon S. Du
In multiplayer games, self-interested behavior among the players can harm the social welfare. Tax mechanisms are a common method to alleviate this issue and induce socially optimal…
cs.LG2024
Refined Sample Complexity for Markov Games with Independent Linear Function Approximation
Yan Dai, Qiwen Cui, Simon S. Du
Markov Games (MG) is an important model for Multi-Agent Reinforcement Learning (MARL). It was long believed that the "curse of multi-agents" (i.e., the algorithmic performance drop…