Towards Using Fully Observable Policies for POMDPs

András Attila Sulyok, Kristóf Karacs

Partially Observable Markov Decision Process (POMDP) is a framework applicable to many real world problems. In this work, we propose an approach to solve POMDPs with multimodal bel…