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Proposed method demonstrates effective path optimization through trajectory advantage regression, indicating potential in reinforcement learning applications.
In this paper, we propose trajectory advantage regression, a method of offline path learning and path attribution based on reinforcement learning. The proposed method can be used to solve path optimization problems while algorithmically only solving a regression problem.
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Kohei Miyaguchi (2025) studied this question.
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