Inferring Reward Machines and Transition Machines from Partially Observable Markov Decision Processes

Yuly Wu, Jiamou Liu, Libo Zhang

Partially Observable Markov Decision Processes (POMDPs) are fundamental to many real-world applications. Although reinforcement learning (RL) has shown success in fully observable…