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[Docs] Link video presentation #36

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Nov 10, 2023
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[Docs] Link video presentation #36

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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -17,6 +17,8 @@ python benchmarl/run.py algorithm=mappo task=vmas/balance
[![Examples](https://img.shields.io/badge/Examples-blue.svg)](examples) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/facebookresearch/BenchMARL/blob/main/notebooks/run.ipynb)
[![Static Badge](https://img.shields.io/badge/Benchmarks-Wandb-yellow)](https://wandb.ai/matteobettini/benchmarl-public/reportlist)

Watch the [talk on multi-agent simulation and learning in BenchMARL and TorchRL](https://www.youtube.com/watch?v=1tOIMgJf_VQ).

### What is BenchMARL 🧐?

BenchMARL is a Multi-Agent Reinforcement Learning (MARL) training library created to enable reproducibility
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