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[ ![ Python] ( https://img.shields.io/badge/python-3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11-blue.svg )] ( https://www.python.org/downloads/ )
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[ ![ GitHub license] ( https://img.shields.io/badge/license-GPLv3.0-blue.svg )] ( https://github.com/proroklab/VectorizedMultiAgentSimulator/blob/main/LICENSE )
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[ ![ arXiv] ( https://img.shields.io/badge/arXiv-2207.03530-b31b1b.svg )] ( https://arxiv.org/abs/2207.03530 )
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+ [ ![ Discord Shield ] ( https://dcbadge.vercel.app/api/server/dg8txxDW5t?style=flat )] ( https://discord.gg/dg8txxDW5t )
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<p align =" center " >
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<img src =" https://github.com/matteobettini/vmas-media/blob/main/media/VMAS_scenarios.gif?raw=true " alt =" drawing " />
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</p >
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> [ !NOTE]
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- > We have just released [ BenchMARL] ( https://github.com/facebookresearch/BenchMARL ) , a benchmarking library where you
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+ > We have released [ BenchMARL] ( https://github.com/facebookresearch/BenchMARL ) , a benchmarking library where you
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> can train VMAS tasks using TorchRL!
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> Check out [ how easy it is to use it.] ( https://colab.research.google.com/github/facebookresearch/BenchMARL/blob/main/notebooks/run.ipynb )
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VMAS
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====
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+ .. discord_button ::
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+ https://discord.gg/dg8txxDW5t
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.. figure :: https://raw.githubusercontent.com/matteobettini/vmas-media/master/media/vmas_scenarios_more.gif
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:align: center
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