Logistic $Q$-Learning

Joan Bas-Serrano
Joan Bas-Serrano
Gergely Neu
Gergely Neu
Cited by: 0|Bibtex|Views19
Other Links: arxiv.org

Abstract:

We propose a new reinforcement learning algorithm derived from a regularized linear-programming formulation of optimal control in MDPs. The method is closely related to the classic Relative Entropy Policy Search (REPS) algorithm of Peters et al. (2010), with the key difference that our method introduces a Q-function that enables efficie...More

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