Jingyuan Cong

A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective

Offline reinforcement learning endeavors to leverage offline datasets to craft effective agent policy without online interaction, which imposes proper conservative constraints with the support of behavior policies to tackle the out-of-distribution problem. However, existing works often suffer from t…