diff --git a/units/en/unit5/introduction.mdx b/units/en/unit5/introduction.mdx index 5ef5795..0ac033f 100644 --- a/units/en/unit5/introduction.mdx +++ b/units/en/unit5/introduction.mdx @@ -1,5 +1,7 @@ # An Introduction to Unity ML-Agents [[introduction-to-ml-agents]] +thumbnail + One of the challenges in Reinforcement Learning is to **create environments**. Fortunately for us, we can use game engines. Game engines like [Unity](https://unity.com/), [Godot](https://godotengine.org/) or [Unreal Engine](https://www.unrealengine.com/), are programs made to create video games. They are perfectly suited for creating environments: they provide physics systems, 2D/3D rendering, and more.