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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.
https://vmas.readthedocs.io
GNU General Public License v3.0
349 stars 71 forks source link

[CI] FIx CI #105

Closed matteobettini closed 5 months ago

codecov[bot] commented 5 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 87.77%. Comparing base (73ec6aa) to head (b8d8d4a). Report is 1 commits behind head on main.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #105 +/- ## ======================================= Coverage 87.77% 87.77% ======================================= Files 81 81 Lines 8354 8354 ======================================= Hits 7333 7333 Misses 1021 1021 ```

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