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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] Optional sensor render #108

Closed matteobettini closed 4 months ago

matteobettini commented 4 months ago

fixes #107

codecov[bot] commented 4 months ago

Codecov Report

Attention: Patch coverage is 60.00000% with 2 lines in your changes missing coverage. Please review.

Project coverage is 87.79%. Comparing base (73ec6aa) to head (d302bb9). Report is 3 commits behind head on main.

Files Patch % Lines
vmas/simulator/sensors.py 60.00% 2 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #108 +/- ## ========================================== + Coverage 87.77% 87.79% +0.01% ========================================== Files 81 81 Lines 8354 8359 +5 ========================================== + Hits 7333 7339 +6 + Misses 1021 1020 -1 ```

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