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.
Codecov Report
All modified and coverable lines are covered by tests :white_check_mark:
Additional details and impacted files
```diff @@ Coverage Diff @@ ## main #123 +/- ## ======================================= Coverage 87.46% 87.46% ======================================= Files 82 82 Lines 9502 9504 +2 ======================================= + Hits 8311 8313 +2 Misses 1191 1191 ```:umbrella: View full report in Codecov by Sentry.
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