From dbce7e5339cace993016e4f8a4bbcd55989058f6 Mon Sep 17 00:00:00 2001 From: Thomas Simonini Date: Mon, 5 Dec 2022 17:45:20 +0100 Subject: [PATCH] Update how-huggy-works.mdx --- units/en/unitbonus1/how-huggy-works.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/units/en/unitbonus1/how-huggy-works.mdx b/units/en/unitbonus1/how-huggy-works.mdx index 3c695c3..71df60a 100644 --- a/units/en/unitbonus1/how-huggy-works.mdx +++ b/units/en/unitbonus1/how-huggy-works.mdx @@ -1,4 +1,4 @@ -# How Huggy works? [[how-huggy-works]] +# 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). 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**.