Building action sets in a deep reinforcement learner

• Main Authors: WANG, Yongzhao, SINHA, Arunesh, WANG, Sky C.H., WELLMAN, Michael P.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Artificial Intelligence and Robotics; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/6785; https://ink.library.smu.edu.sg/context/sis_research/article/7788/viewcontent/ICMLA_21_final_1_.pdf
• Institution: Singapore Management University

In many policy-learning applications, the agent may execute a set of actions at each decision stage. Choosing among an exponential number of alternatives poses a computational challenge, and even representing actions naturally expressed as sets can be a tricky design problem. Building upon prior app...