Bayesian Reinforcement Learning via Deep, Sparse Sampling.

Divya Grover Debabrota Basu Christos Dimitrakakis

Published in: AISTATS (2020)

Keyphrases

sparse sampling
bayesian reinforcement learning
optimal policy
monte carlo tree search
reinforcement learning
state space
monte carlo
partially observable markov decision processes
dynamic programming
domain specific