Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction

Jiachen Li, Shuo Cheng, Zhenyu Liao +3

Improving the sample efficiency of reinforcement learning algorithms requires effective exploration. Following the principle of $\text{optimism in the face of uncertainty}$ (OFU)…