Boosting Offline Reinforcement Learning via Data Rebalancing

Yang Yue, Bingyi Kang, Xiao Ma +3

Offline reinforcement learning (RL) is challenged by the distributional shift between learning policies and datasets. To address this problem, existing works mainly focus on design…