A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points

Zihe Liu, Jie Lu, Guangquan Zhang +1

Deep reinforcement learning is used in various domains, but usually under the assumption that the environment has stationary conditions like transitions and state distributions. Wh…