Li Zhang

Graph-Trust-Enhanced Embodied Multi-Agent Reinforcement Learning for Secure Collaborative Control of Low-Carbon Energy Behaviors in Edge IoT Systems

Low-carbon energy control in edge IoT systems requires heterogeneous buildings, storage units, electric vehicles, renewable interfaces, and flexible loads to coordinate under partial observability, unreliable communication, and strict physical constraints. Existing multiagent reinforcement learning methods generally tr...