Hierarchical reinforcement learning with integrated discovery of salient subgoals

• Main Authors: PATERIA, Shubham, SUBAGDJA, Budhitama, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Hierarchical Reinforcement Learning; Reinforcement Learning; Subgoal discovery; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6171; https://ink.library.smu.edu.sg/context/sis_research/article/7174/viewcontent/p1963.pdf
• Institution: Singapore Management University

Hierarchical Reinforcement Learning (HRL) is a promising approach to solve more complex tasks which may be challenging for the traditional reinforcement learning. HRL achieves this by decomposing a task into shorter-horizon subgoals which are simpler to achieve. Autonomous discovery of such subgoals...