Reinforcement Learning with Limited Reinforcement: Using Bayes Risk for Active Learning in POMDPs

Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains because they optimally trade between actions that increase an agent's knowledge and actions that increase an