Zhi-Wei Zhang

Role-cognitive decomposition for multi-agent reinforcement learning in StarCraft II micromanagement

In complex, partially observable environments such as real-time strategy games, relying on decentralized multi-agent systems to learn efficient cooperative strategies is a challenging task. This paper proposes a Role Cognition Decomposition algorithm based on Multi-Agent Reinforcement Learning (RCD-MARL), which combine...