Learning expensive coordination: An event-based deep RL approach

• Main Authors: YU, Runsheng, WANG, Xinrun, WANG, Rundong, ZHANG, Youzhi, AN, Bo, SHI, Zhen Yu, LAI, Hanjiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/9147; https://ink.library.smu.edu.sg/context/sis_research/article/10150/viewcontent/108_learning_expensive_coordination_av.pdf
• Institution: Singapore Management University

Existing works in deep Multi-Agent Reinforcement Learning (MARL) mainly focus on coordinating cooperative agents to complete certain tasks jointly. However, in many cases of the real world, agents are self-interested such as employees in a company and clubs in a league. Therefore, the leader, i.e.,...