Efficient Learning of POMDPs with Known Observation Model in Average-Reward Setting

Alessio Russo, Alberto Maria Metelli, Marcello Restelli

Dealing with Partially Observable Markov Decision Processes is notably a challenging task. We face an average-reward infinite-horizon POMDP setting with an unknown transition model…