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 570 (last one a day ago)

Stargazers 280 (3 this week)

Watchers 8 (0 this week)

Forks 55

License gpl-3.0

Ranking

RepositoryStats indexes 534,551 repositories, of these proroklab/VectorizedMultiAgentSimulator is ranked #132,161 (75th percentile) for total stargazers, and #236,072 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #22,316/103,470.

proroklab/VectorizedMultiAgentSimulator is also tagged with popular topics, for these it's ranked: pytorch (#1,913/5588), robotics (#326/1085), simulation (#208/919), simulator (#89/311)

Other Information

proroklab/VectorizedMultiAgentSimulator has 3 open pull requests on Github, 63 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 8 open issues and 38 closed issues.

There have been 20 releases, the latest one was published on 2024-05-20 (about a month ago) with the name VMAS-1.4.1.

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

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

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updated: 2024-06-28 @ 09:51pm, id: 491560977 / R_kgDOHUygEQ