RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning

Boning Li; Zhixuan Fang; Longbo Huang

2024 ICML ICML 2024

RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning

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

Boning Li, Zhixuan Fang, Longbo Huang

Topics

Reinforcement Learning > Applications > Game AI

Keywords

reinforcement learning counterfactual regret minimization feature vector action abstraction imperfect information extensive-form game expected payoff

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