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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
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[Feature] Warn when kwargs passed to a `Scenario` are not used #117

Closed matteobettini closed 4 months ago

matteobettini commented 4 months ago

fixes #114

codecov[bot] commented 4 months ago

Codecov Report

Attention: Patch coverage is 98.76543% with 4 lines in your changes missing coverage. Please review.

Project coverage is 87.89%. Comparing base (66f3a02) to head (ecdd946). Report is 1 commits behind head on main.

Files Patch % Lines
vmas/simulator/utils.py 50.00% 4 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #117 +/- ## ========================================== + Coverage 87.83% 87.89% +0.06% ========================================== Files 81 81 Lines 8384 8434 +50 ========================================== + Hits 7364 7413 +49 - Misses 1020 1021 +1 ```

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