Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting

Conference paper at ICLR 2023 Most offline reinforcement learning (RL) algorithms return a target policy maximizing a trade-off between (1) the expected performance gain over the behavior policy that collected the dataset, and (2) the risk stemming from the out-of-distribution-ness of the induced st...

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Hauptverfasser:	Hong, Zhang-Wei, Agrawal, Pulkit, Combes, Rémi Tachet des, Laroche, Romain
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
Online-Zugang:	Volltext bestellen
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