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2025 ICML ICML 2025

Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Runyu Lu, Yuanheng Zhu, Dongbin Zhao

Topics

Reinforcement Learning > Methods > Offline RL Reinforcement Learning > Methods > Multi-Agent Systems Reinforcement Learning > Applications > Game AI

Keywords

offline reinforcement learning policy constraint mixed-strategy nash equilibrium adversarial markov games exploitability descent uniform coverage
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