Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning

Jongchan Park, Mingyu Park, Donghwan Lee

Offline reinforcement learning (RL) aims to learn a policy from a static dataset without further interactions with the environment. Collecting sufficiently large datasets for offli…