An Information-Theoretic Analysis of Bayesian Reinforcement Learning

18 July 2022

Papers citing "An Information-Theoretic Analysis of Bayesian Reinforcement Learning"

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Title
Tighter expected generalization error bounds via Wasserstein distance Borja Rodríguez Gálvez Germán Bassi Ragnar Thobaben Mikael Skoglund 50 46 0 22 Jan 2021
Minimum Excess Risk in Bayesian Learning Aolin Xu Maxim Raginsky 410 40 0 29 Dec 2020
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu Maxim Raginsky 169 446 0 22 May 2017
An Information-Theoretic Analysis of Thompson Sampling Daniel Russo Benjamin Van Roy 161 425 0 21 Mar 2014
(More) Efficient Reinforcement Learning via Posterior Sampling Ian Osband Daniel Russo Benjamin Van Roy 116 534 0 04 Jun 2013