Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization

Yufei Kuang, Miao Lu, Jie Wang +3

Deep reinforcement learning algorithms can perform poorly in real-world tasks due to the discrepancy between source and target environments. This discrepancy is commonly viewed as…