HewlettPackard / dc-rl

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.

Date Created 2023-05-31 (about a year ago)
Commits 403 (last one 2 months ago)
Stargazers 43 (2 this week)
Watchers 7 (0 this week)
Forks 10
License mit
Ranking

RepositoryStats indexes 616,861 repositories, of these HewlettPackard/dc-rl is ranked #519,350 (16th percentile) for total stargazers, and #273,934 for total watchers. Github reports the primary language for this repository as HTML, for repositories using this language it is ranked #13,369/15,994.

HewlettPackard/dc-rl is also tagged with popular topics, for these it's ranked: python (#20,302/22961),  machine-learning (#7,292/8265),  benchmark (#684/799)

Other Information

HewlettPackard/dc-rl has 1 open pull request on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 1 closed issue.

Homepage URL: https://hewlettpackard.github.io/dc-rl/index.html

Star History

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Watcher History

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Recent Commit History

403 commits on the default branch (main) since jan '22

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Issue History

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Languages

The primary language is HTML but there's also others...

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updated: 2025-02-18 @ 04:51pm, id: 647901908 / R_kgDOJp4y1A