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6/18/24, 11:00 AM
Abstract: While reinforcement learning has achieved impressive success in applications such as game-playing and robotics, there is work yet to be done to make RL truly practical for optimizing policies for real-world systems. In particular, many systems exhibit clear structure that RL algorithms currently don't know how to exploit efficiently. As a result, domain-specific heuristics often...
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