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 591 (last one 15 days ago)

Stargazers 346 (6 this week)

Watchers 9 (0 this week)

Forks 68

License gpl-3.0

Ranking

RepositoryStats indexes 584,353 repositories, of these proroklab/VectorizedMultiAgentSimulator is ranked #119,343 (80th percentile) for total stargazers, and #224,040 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #20,211/116,326.

proroklab/VectorizedMultiAgentSimulator is also tagged with popular topics, for these it's ranked: pytorch (#1,749/5948), robotics (#306/1251), simulation (#186/1005), simulator (#80/333)

Other Information

proroklab/VectorizedMultiAgentSimulator has 2 open pull requests on Github, 77 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 (2 months ago) with the name 1.4.3.

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

All Topics

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

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

Opengraph Image

updated: 2024-11-20 @ 03:32pm, id: 491560977 / R_kgDOHUygEQ