Residuals-based Offline Reinforcement Learning
arXiv:2604.01378v1 Announce Type: new Abstract: Offline reinforcement learning (RL) has received increasing attention for learning policies from previously collected data without interaction with the real …
Qing Zhu, Xian Yu
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