A diffusion model is used to augment rewards in deep reinforcement learning for coordinated AIGC workload scheduling and energy management across distributed data centers.
Optimal data center energy manage- ment with hybrid quantum-classical multi-cuts Benders’ decomposition method,
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Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach
A diffusion model is used to augment rewards in deep reinforcement learning for coordinated AIGC workload scheduling and energy management across distributed data centers.