Uncertainty Quantification and Exploration for Reinforcement Learning

YI Zhu, Jing Dong, Henry Lam

We investigate statistical uncertainty quantification for reinforcement learning (RL) and its implications in exploration policy. Despite ever-growing literature on RL applications…