Learning Markov State Abstractions for Deep Reinforcement Learning

Cameron Allen, Neev Parikh, Omer Gottesman +1

A fundamental assumption of reinforcement learning in Markov decision processes (MDPs) is that the relevant decision process is, in fact, Markov. However, when MDPs have rich obser…