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arXiv · 2210.12160

On the connection between Bregman divergence and value in regularized Markov decision processes

Brendan O'Donoghue
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Abstract

In this short note we derive a relationship between the Bregman divergence from the current policy to the optimal policy and the suboptimality of the current value function in a regularized Markov decision process. This result has implications for multi-task reinforcement learning, offline reinforcement learning, and regret analysis under function approximation, among others.

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Brendan O'Donoghue. 2022-10-21. On the connection between Bregman divergence and value in regularized Markov decision processes. https://arxiv.org/abs/2210.12160

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