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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] Enable to set the number of lidar rays in navigation, discovery and flocking scenarios #141

Closed Giovannibriglia closed 2 months ago

Giovannibriglia commented 2 months ago

Fixes https://github.com/proroklab/VectorizedMultiAgentSimulator/issues/140

Giovannibriglia commented 2 months ago

Thank youuu :), sorry for the incoveniences :(