Memory-State Critic for Asymmetric Actor-Critic with Application to Vision-Based Pursuit-Evasion

In partially observable Markov decision processes, the optimal policy generally depends on the history of observations and past actions. Asymmetric actor-critic methods have become popular to learn such policies when additional information, such as the true state of the environment, is available…