Hindsight-Combined and Hindsight-Prioritized Experience Replay

Hindsight-Combined and Hindsight-Prioritized Experience Replay

Reinforcement learning has proved to be of great utility; execution, however, may be costly due to sampling inefficiency. An efficient method for training is experience replay, which recalls past experiences. Several experience replay techniques, namely, combined experience replay, hindsight experie...

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書目詳細資料
Main Authors:	Tan, Renzo Roel P, Ikeda, Kazushi, Vergara, John Paul
格式:	text
出版:	Archīum Ateneo 2020
主題:	Experience replay Deep Q-Network reinforcement learning sample efficiency hybrid algorithm Logic and Foundations Mathematics
在線閱讀:	https://archium.ateneo.edu/mathematics-faculty-pubs/146 https://link.springer.com/chapter/10.1007%2F978-3-030-63833-7_36
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Ateneo De Manila University

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