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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] Make lidar angles relative to agent rotation #101

Closed matteobettini closed 5 months ago

matteobettini commented 5 months ago

Fixes #100

codecov[bot] commented 5 months ago

Codecov Report

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

Project coverage is 87.76%. Comparing base (a026a85) to head (34606e3).

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #101 +/- ## ======================================= Coverage 87.76% 87.76% ======================================= Files 81 81 Lines 8343 8343 ======================================= Hits 7322 7322 Misses 1021 1021 ```

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