16 citations · 65 across the 48 of their papers we have counts for
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cs.LG2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
Chang Yang, Ruiyu Wang, Xinrun Wang +1
Generalization in reinforcement learning (RL) is of importance for real deployment of RL algorithms. Various schemes are proposed to address the generalization issues, including tr…
cs.AI2022
Offline Equilibrium Finding
Shuxin Li, Xinrun Wang, Youzhi Zhang +4
Offline reinforcement learning (offline RL) is an emerging field that has recently begun gaining attention across various application domains due to its ability to learn strategies…
cs.GT2022
A Unified Perspective on Deep Equilibrium Finding
Xinrun Wang, Jakub Cerny, Shuxin Li +4
Extensive-form games provide a versatile framework for modeling interactions of multiple agents subjected to imperfect observations and stochastic events. In recent years, two para…