proroklab / VectorizedMultiAgentSimulator

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

Date Created 2022-05-12 (2 years ago)

Commits 592 (last one 23 days ago)

Stargazers 358 (2 this week)

Watchers 9 (0 this week)

Forks 71

License gpl-3.0

Ranking

RepositoryStats indexes 595,890 repositories, of these proroklab/VectorizedMultiAgentSimulator is ranked #117,558 (80th percentile) for total stargazers, and #225,768 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #19,995/119,419.

proroklab/VectorizedMultiAgentSimulator is also tagged with popular topics, for these it's ranked: pytorch (#1,731/6025), robotics (#309/1287), simulation (#185/1017), simulator (#78/336)

Other Information

proroklab/VectorizedMultiAgentSimulator has 2 open pull requests on Github, 78 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 6 open issues and 54 closed issues.

There have been 22 releases, the latest one was published on 2024-09-21 (3 months ago) with the name 1.4.3.

Homepage URL: https://vmas.readthedocs.io

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

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updated: 2024-12-19 @ 04:47pm, id: 491560977 / R_kgDOHUygEQ