diff --git a/units/en/unitbonus1/how-huggy-works.mdx b/units/en/unitbonus1/how-huggy-works.mdx index e5a07e2d..5e15e2d8 100644 --- a/units/en/unitbonus1/how-huggy-works.mdx +++ b/units/en/unitbonus1/how-huggy-works.mdx @@ -1,6 +1,6 @@ # How Huggy works [[how-huggy-works]] -Huggy is a Deep Reinforcement Learning environment made by Hugging Face and based on [Puppo the Corgi, a project by the Unity MLAgents team](https://blog.unity.com/technology/puppo-the-corgi-cuteness-overload-with-the-unity-ml-agents-toolkit). +Huggy is a Deep Reinforcement Learning environment made by Hugging Face and based on [Puppo the Corgi, a project by the Unity MLAgents team](https://blog.unity.com/technology/puppo-the-corgi-cuteness-overload-with-the-unity-ml-agents-toolkit) ([mirror](https://web.archive.org/web/20200413132335/https://blogs.unity3d.com/2018/10/02/puppo-the-corgi-cuteness-overload-with-the-unity-ml-agents-toolkit/)). This environment was created using the [Unity game engine](https://unity.com/) and [MLAgents](https://github.com/Unity-Technologies/ml-agents). ML-Agents is a toolkit for the game engine from Unity that allows us to **create environments using Unity or use pre-made environments to train our agents**. Huggy