2026
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning
AAAI 2026technical
In cooperative Multi-Agent Reinforcement Learning (MARL), efficient exploration is crucial for optimizing the performance of joint policy. However, existing methods often update joint policies via independent agent exploration, without coordination among agents, which inherently constrains the expre