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 597 (last one 11 days ago)
Stargazers 390 (1 this week)
Watchers 8 (0 this week)
Forks 76
License gpl-3.0
Ranking

RepositoryStats indexes 618,350 repositories, of these proroklab/VectorizedMultiAgentSimulator is ranked #112,816 (82nd percentile) for total stargazers, and #249,094 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #19,269/125,168.

proroklab/VectorizedMultiAgentSimulator is also tagged with popular topics, for these it's ranked: pytorch (#1,662/6144),  robotics (#295/1342),  simulation (#173/1046),  simulator (#77/347)

Other Information

proroklab/VectorizedMultiAgentSimulator has 1 open pull request on Github, 80 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 6 open issues and 56 closed issues.

There have been 23 releases, the latest one was published on 2025-02-02 (19 days ago) with the name 1.5.0.

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

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Recent Commit History

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

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Issue History

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proroklab/VectorizedMultiAgentSimulator

updated: 2025-02-20 @ 03:03am, id: 491560977 / R_kgDOHUygEQ