A T-symmetry regularized graph-neural-network offline RL policy, deployed in a production data center, reduced air-side cooling energy by 14-21% versus PID control over 2000 hours without observed safety violations.
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Data Center Cooling System Optimization Using Offline Reinforcement Learning
A T-symmetry regularized graph-neural-network offline RL policy, deployed in a production data center, reduced air-side cooling energy by 14-21% versus PID control over 2000 hours without observed safety violations.