HC-MARL: A General Hierarchical Cascaded Multi-Agent Collaborative Architecture for Cyber Wargaming Applications

Cyber wargaming serves as a core tool for simulating cyber confrontations and supporting operational decision verification. Existing multi-agent methods face issues such as the absence of cross-level mechanisms, poor adaptability to dynamic environments, and inefficient collaboration when applied to cyber wargaming. To address these challenges, we innovatively propose HC-MARL, a general hierarchical cascaded multi-agent reinforcement learning architecture tailored for cyber wargaming. Agents are