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 394 (last one about a month ago)

Stargazers 26 (2 this week)

Watchers 7 (0 this week)

Forks 6

License mit

Ranking

RepositoryStats indexes 564,918 repositories, of these HewlettPackard/dc-rl is ranked #556,028 (2nd percentile) for total stargazers, and #265,381 for total watchers. Github reports the primary language for this repository as HTML, for repositories using this language it is ranked #14,410/14,677.

HewlettPackard/dc-rl is also tagged with popular topics, for these it's ranked: python (#21,191/21406), machine-learning (#7,622/7699), benchmark (#717/728)

Other Information

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

All Topics

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

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

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

updated: 2024-09-27 @ 11:39am, id: 647901908 / R_kgDOJp4y1A