IEI

Learning Multi-Agent Communication Protocol: Study on Information Entropy Efficiency in MARL

arXiv:2606.07200v1 Announce Type: new Abstract: Multi-Agent Systems (MAS) have emerged as a fundamental paradigm for distributed problem-solving, where autonomous agents collaborate to achieve complex objectives. Within this framework, Multi-Agent Reinforcement Learning (MARL) with communication has demonstrated remarkable success in cooperative tasks. However, existing approaches predominantly pursue performance gains through increasingly complex architectures and expanding communication...