Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data

Shilong Deng, Zetao Zheng, Hongcai He +2

A major challenge in Reinforcement Learning (RL) is the difficulty of learning an optimal policy from sparse rewards. Prior works enhance online RL with conventional Imitation Lear…