DSpace at KOASAS: Sample-efficient and safe deep reinforcement learning via reset deep ensemble agents

DSpace at KOASAS

College of Engineering(공과대학)School of Electrical Engineering(전기및전자공학부)EE-Conference Papers(학술회의논문)

Sample-efficient and safe deep reinforcement learning via reset deep ensemble agents

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Kim, Woojun / Shin, Yongjae / Park, Jongeui / Sung, Youngchul researcher

Publisher: Neural Information Processing Systems

Issue Date: 2023-12

Language: English

Citation: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023

URI: http://hdl.handle.net/10203/315703

Appears in Collection: EE-Conference Papers(학술회의논문)

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Sample-efficient and safe deep reinforcement learning via reset deep ensemble agents

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