Scaling up cooperative multi-agent reinforcement learning systems

• Main Author: GENG, Minghong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Multi-agent Reinforcement Learning; Scaling up MARL; Long-horizon MARL; Hierarchical Multi-agent Systems; Task Decomposition; Multi-agent learning; Reinforcement learning; Scalability; Collective learning; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9750; https://ink.library.smu.edu.sg/context/sis_research/article/10750/viewcontent/p2737__1_.pdf
• Institution: Singapore Management University

Cooperative multi-agent reinforcement learning methods aim to learn effective collaborative behaviours of multiple agents performing complex tasks. However, existing MARL methods are commonly proposed for fairly small-scale multi-agent benchmark problems, wherein both the number of agents and the le...