most citedA Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2022★ 2 cited

A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning

Christoph Dann, Mehryar Mohri, Tong Zhang +1

Thompson Sampling is one of the most effective methods for contextual bandits and has been generalized to posterior sampling for certain MDP settings. However, existing posterior s…