Neural episodic control with state abstraction

Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample inefficiency.Generally, episodic control-based approaches are solutions that leveragehighly-rewarded past experiences to improve sample efficiency of DRL algorithms.However, previous episodic control-based approaches fail to ut...

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Bibliographic Details
Main Authors: LI, Zhuo, ZHU, Derui, HU, Yujing, XIE, Xiaofei, MA, Lei, ZHENG, Yan, SONG, Yan, CHEN, Yingfeng, ZHAO, Jianjun
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8231
https://ink.library.smu.edu.sg/context/sis_research/article/9234/viewcontent/1059_neural_episodic_control_with_s.pdf
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Institution: Singapore Management University
Language: English