Fengming Zhu

Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination

2024 · arXiv (Cornell University)

Reaching consensus is key to multi-agent coordination. To accomplish a cooperative task, agents need to coherently select optimal joint actions to maximize the team reward. However, current cooperative multi-agent reinforcement learning (MARL) methods usually do …