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2024 ICML ICML 2024

Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games

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

Songtao Feng, Ming Yin, Yu-Xiang Wang, Jing Yang, Yingbin Liang

Topics

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

Keywords

sample complexity nash equilibrium variance reduction coarse correlated equilibrium zero-sum markov game reference-advantage decomposition
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