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2025 ICML ICML 2025

Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement

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

Yuheng Jing, Kai Li, Bingyun Liu, Ziwen Zhang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Topics

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

Keywords

competitive environment instant policy refinement no maximization bias probability offline opponent modeling suboptimal dataset truncated q
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