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.
active 2024-04-23 → 2024-08-01 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 101 days from 2024-04-23 to 2024-08-01. Pushes: 6 total, peak 2 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 |
|---|---|---|---|---|
| shalin-jain | 8 | 6 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#1shalin-jain2024-04-24 14:42
- Pull request#1shalin-jain2024-04-24 14:37
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.