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Miyu Yamamoto

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Open access Jul 2026

Dataset-Constrained Offline Reinforcement Learning with Value Memory and Preference Feedback

A novel framework that integrates value memory architectures with preference-based feedback mechanisms within a dataset-constrained optimization landscape is introduced, demonstrating that this dual-mechanism framework significantly improves both policy stability and asymptotic performance.

Miyu Yamamoto, Haruto Yamamoto · 0 citations

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