Learning in POMDPs with Monte Carlo Tree Search

Sammie Katt, Frans A. Oliehoek, Christopher Amato

Abstract: The POMDP is a powerful framework for reasoning under outcome and information uncertainty, but constructing an accurate POMDP model is difficult. Bayes-Adaptive Partially Observable Markov Decision...