bassamlab / SigmaRL

SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning

Date Created 2024-05-02 (7 months ago)

Commits 142 (last one 18 days ago)

Stargazers 38 (1 this week)

Watchers 1 (0 this week)

Forks 1

License other

Ranking

RepositoryStats indexes 595,856 repositories, of these bassamlab/SigmaRL is ranked #530,949 (11th percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #104,006/119,431.

bassamlab/SigmaRL is also tagged with popular topics, for these it's ranked: pytorch (#5,559/6025), autonomous-driving (#367/405), autonomous-vehicles (#172/184)

Other Information

bassamlab/SigmaRL has Github issues enabled, there is 1 open issue and 1 closed issue.

There have been 3 releases, the latest one was published on 2024-09-20 (3 months ago) with the name 1.2.0.

All Topics

marl pytorch motion-planing connected-vehicle autonomous-driving autonomous-vehicles connected-and-automated-vehicles multi-agent-reinforcement-learning

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

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The only known language in this repository is Python

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updated: 2024-12-22 @ 12:12am, id: 794781128 / R_kgDOL19lyA