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heterogeneous-reinforcement-learning

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HewlettPackard / dc-rl

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SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.

python benchmarking benchmark machine-learning sustainability data-center energy-efficiency gymnasium benchmarking-framework carbon-footprint multi-agent-reinforcement-learning battery-management sustainable-computing gymnasium-environment data-center-management workload-scheduling cooling-optimization heterogeneous-reinforcement-learning reinforcement-learningmulti-agent-systems
  • Updated Dec 6, 2024
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