Workflow from Scientific Research

Our algorithm comprises decentralized policy, value function, model, model buffer and environment buffer. The red arrows highlight primary steps, involving experience sampling from both the model and the real environment for policy and model learning. The model framework incorporates embedding layers for state and action feature extraction, followed by merging based on graph network topology.

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