Andrea Baisero

Unbiased Asymmetric Actor-Critic for Partially Observable Reinforcement Learning.

2021 · arXiv (Cornell University)

In partially observable reinforcement learning, offline training gives access to latent information which is not available during online training and/or execution, such as the system state. Asymmetric actor-critic methods exploit such information by training a …