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cs.MA2026
Learning Multi-Agent Communication Protocol: Study on Information Entropy Efficiency in MARL
Xinren Zhang, Zixin Zhong, Jiadong Yu
Multi-Agent Systems (MAS) have emerged as a fundamental paradigm for distributed problem-solving, where autonomous agents collaborate to achieve complex objectives. Within this fra…
cs.MA2025
Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning
Xinren Zhang, Jiadong Yu, Zixin Zhong
Multi-Agent Systems (MAS) have emerged as a powerful paradigm for modeling complex interactions among autonomous entities in distributed environments. In Multi-Agent Reinforcement…
cs.MA2025
Network Topology and Information Efficiency of Multi-Agent Systems: Study based on MARL
Xinren Zhang, Sixi Cheng, Zixin Zhong +1
Multi-agent systems (MAS) solve complex problems through coordinated autonomous entities with individual decision-making capabilities. While Multi-Agent Reinforcement Learning (MAR…