Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics

Tyler Kastner; Mark Rowland; Yunhao Tang; Murat A Erdogdu; Amir-massoud Farahmand

2025 ICML ICML 2025

Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics

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. Papers without an abstract are not sent to the classifier, which is why this one carries no topics.

Authors

Tyler Kastner, Mark Rowland, Yunhao Tang, Murat A Erdogdu, Amir-massoud Farahmand

Keywords

kullback-leibler divergence asymptotic variance convergence categorical distribution learning rate regimes preconditioned algorithm

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