How memory architecture affects learning in a simple POMDP: the two-hypothesis testing problem

Mario Geiger, Christophe Eloy, Matthieu Wyart

Reinforcement learning is generally difficult for partially observable Markov decision processes (POMDPs), which occurs when the agent's observation is partial or noisy. To seek go…