Hierarchical reinforcement learning: A comprehensive survey

• Main Authors: PATERIA, Shubham, SUBAGDJA, Budhitama, TAN, Ah-hwee, QUEK, Chai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Databases and Information Systems; Data Storage Systems
• 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
• Institution: Singapore Management University

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...