Offline RL promises to extract high-utility policies from static datasets but faces fundamental challenges that current methods only partially address.
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Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Offline RL promises to extract high-utility policies from static datasets but faces fundamental challenges that current methods only partially address.