dc-rl

dc-rl

HewlettPackard

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.

118 Stars
39 Forks
5 Watchers
HTML Language
mit License
100 SrcLog Score
Cost to Build
$4.31M
Market Value
$10.88M

Growth over time

4 data points  ·  2025-06-01 → 2026-08-01
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What is the HewlettPackard/dc-rl GitHub project? Description: "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.". Written in HTML. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone dc-rl

Clone via HTTPS

git clone https://github.com/HewlettPackard/dc-rl.git

Clone via SSH

[email protected]:HewlettPackard/dc-rl.git

Download ZIP

Download main.zip

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