Hierarchical reinforcement learning: A comprehensive survey
Hierarchical Reinforcement Learning (HRL) enables autonomous decomposition of challenging long-horizon decision-making tasks into simpler subtasks. During the past years, the landscape of HRL research has grown profoundly, resulting in copious approaches. A comprehensive overview of this vast landsc...
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Main Authors: | PATERIA, Shubham, SUBAGDJA, Budhitama, TAN, Ah-hwee, QUEK, Chai |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6047 https://ink.library.smu.edu.sg/context/sis_research/article/7054/viewcontent/a109_pateria_suppl.pdf |
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Institution: | Singapore Management University |
Language: | English |
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