Learning Causal States Under Partial Observability and Perturbation

Na Li, Hangguan Shan, Wei Ni +3

A critical challenge for reinforcement learning (RL) is making decisions based on incomplete and noisy observations, especially in perturbed and partially observable Markov decisio…