Integrating motivated learning and k-winner-take-all to coordinate multi-agent reinforcement learning

• Main Authors: TENG, Teck-Hou, TAN, Ah-hwee, STARZYK, Janusz, TAN, Yuan-Sin, TEOW, Loo-Nin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Reinforcement learning; Multi-agent reinforcement learning; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6273; https://ink.library.smu.edu.sg/context/sis_research/article/7276/viewcontent/Integrating_Motivated_Learning_2014_av.pdf
• Institution: Singapore Management University

This work addresses the coordination issue in distributed optimization problem (DOP) where multiple distinct and time-critical tasks are performed to satisfy a global objective function. The performance of these tasks has to be coordinated due to the sharing of consumable resources and the dependenc...