Constrained multiagent reinforcement learning for large agent population

• المؤلفون الرئيسيون: LING, Jiajing, SINGH, Arambam James, NGUYEN, Duc Thien, KUMAR, Akshat
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2023
• الموضوعات: Constraint optimization; Multi-agent systems; Multiagent reinforcement learning; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/8091; https://ink.library.smu.edu.sg/context/sis_research/article/9094/viewcontent/978_3_031_26412_2_12_pv.pdf

Learning control policies for a large number of agents in a decentralized setting is challenging due to partial observability, uncertainty in the environment, and scalability challenges. While several scalable multiagent RL (MARL) methods have been proposed, relatively few approaches exist for large...