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

1 code implementation • 16 Jun 2021 • 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.