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README.md

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![example workflow](https://github.com/sisl/PyroRL/actions/workflows/testing.yml/badge.svg) [![codecov](https://codecov.io/github/sisl/PyroRL/graph/badge.svg?token=wBlFGsd5sS)](https://codecov.io/github/sisl/PyroRL) [![](https://img.shields.io/badge/docs-latest-blue.svg)](https://sisl.github.io/PyroRL/) [![DOI](https://joss.theoj.org/papers/10.21105/joss.06739/status.svg)](https://doi.org/10.21105/joss.06739)
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PyroRL is a new reinforcement learning environment built for the simulation of wildfire evacuation. Check out the [docs](https://sisl.github.io/PyroRL/) and the [demo](https://www.loom.com/share/39ddd19c790a49c0a1ea7e13cd4d1005?sid=679b631a-74b7-41e3-bd88-3e7d14c0adc2).
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PyroRL is a new reinforcement learning environment built for the simulation of wildfire evacuation. Check out the [docs](https://sisl.github.io/PyroRL/) and the [demo](https://www.youtube.com/embed/Pt4cI5jBbKo).
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## How to Use
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docs/docs/index.md

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PyroRL is a new reinforcement learning environment built for the simulation of wildfire evacuation.
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<div style="position: relative; padding-bottom: 62.5%; height: 0;"><iframe src="https://www.loom.com/embed/39ddd19c790a49c0a1ea7e13cd4d1005?sid=f14dd119-f833-4ed5-a2e7-56c96593d8c1" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;"></iframe></div>
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<iframe width="560" height="315" src="https://www.youtube.com/embed/Pt4cI5jBbKo" frameborder="0" allowfullscreen></iframe>
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<br />
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## Motivation

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