Ze-Kang Wang

Does Learning Recurrent Networks Matter in Partially Observable RL?

Reinforcement learning (RL) under partial observability typically re- lies on recurrent networks to encode temporal information, with the recurrent module trained jointly with the policy or value function. This raises a natural question: is learning the recurrent network actually necessary? In this paper, we investigat...