VMAS is a vectorized framework 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.
active 2023-08-23 → 2024-07-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 337 days from 2023-08-23 to 2024-07-24. Pushes: 44 total, peak 7 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Zartris | 44 | 42 | 2 | 0 |
| matteobettini | 2 | 2 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#1Zartris2024-07-24 07:38
- Pull request#1Zartris2024-07-24 07:23
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.