Proposes a world model-empowered SCD integration framework for complex unmanned systems using AoI-driven sensing, a predictive hybrid latent world model, and a multi-granularity knowledge graph.
Puzzle it Out: Local-to-Global World Model for Offline Multi-Agent Reinforcement Learning,
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Towards World Model-Empowered Integrated Sensing, Communication, and Decision for Complex Unmanned Systems
Proposes a world model-empowered SCD integration framework for complex unmanned systems using AoI-driven sensing, a predictive hybrid latent world model, and a multi-granularity knowledge graph.