# HewlettPackard/dc-rl

<https://repo.masters-masters.com/en/repos/HewlettPackard/dc-rl>

[Home](https://repo.masters-masters.com/en) › [HewlettPackard](https://repo.masters-masters.com/en/owners/HewlettPackard) › [dc-rl](https://repo.masters-masters.com/en/repos/HewlettPackard/dc-rl)

HewlettPackard/dc-rl has 134 stars on GitHub. Its RepoMasters card: Prototype tier. SustainDC is a set of Python environments for Data Center simulation and…

| Field | Value |
| --- | --- |
| Owner | [HewlettPackard](https://repo.masters-masters.com/en/owners/HewlettPackard) |
| Stars | 134 |
| Forks | 43 |
| Language | [HTML](https://repo.masters-masters.com/en/languages/html) |
| License | MIT |
| Created | 2023 |
| Topics | battery-management, benchmark, benchmarking-framework, energy-efficiency, machine-learning, multi-agent-reinforcement-learning, python, sustainable-computing, cooling-optimization, data-center-management |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [HewlettPackard/dc-rl](https://github.com/HewlettPackard/dc-rl) |

## Repository

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.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.