Augmenting decision with hypothesis in reinforcement learning

Value-based reinforcement learning is the current State-Of-The-Art due to high sampling efficiency. However, our study shows it suffers from low exploitation in early training period and bias sensitiveness. To address these issues, we propose to augment the decision-making process with hypothesis, a...

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Bibliographic Details
Main Authors: NGUYEN, Minh Quang, LAUW, Hady Wirawan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/sis_research/9842
https://ink.library.smu.edu.sg/context/sis_research/article/10842/viewcontent/icml24.pdf
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Institution: Singapore Management University
Language: English