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 2023-10-23 → 2024-06-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 227 days from 2023-10-23 to 2024-06-05. Pushes: 135 total, peak 9 in a day. Pull requests: 52 total, peak 4 in a day. Issues: 0 total, peak 0 in a day. Comments: 29 total, peak 8 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 |
|---|---|---|---|---|
| kfu02 | 115 | 52 | 27 | 15 |
| piercehowell | 91 | 51 | 21 | 8 |
| shalin-jain | 40 | 25 | 2 | 6 |
| RezaTorbati | 9 | 7 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
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.