A corrective double deep Q-network framework uses encoded message-passing to refine delayed and noisy global states for improved multi-agent control policies.
Issues in using function approximation for reinforcement learning,
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An Encoded Corrective Double Deep Q-Networks for Multi-Agent Control Systems
A corrective double deep Q-network framework uses encoded message-passing to refine delayed and noisy global states for improved multi-agent control policies.