Huggy
Description
Huggy is a Unity ML-Agents environment showcasing a dog mastering stick-catching through deep reinforcement learning.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Huggy πΆ
Huggy is a Unity ML-Agents environment showcasing a dog mastering stick-catching through deep reinforcement learning.
You can **play with him in your browser** π [here](https://huggingface.co/spaces/ThomasSimonini/Huggy)
You can **learn to train Huggy using Deep Reinforcement Learning** π [with this tutorial](https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction)
Aknowledgments
Huggy is a Deep Reinforcement Learning environment made by Hugging Face and based on [Puppo the Corgi](https://blog.unity.com/technology/puppo-the-corgi-cuteness-overload-with-the-unity-ml-agents-toolkit), a project by the Unity MLAgents team. This environment was created using the Unity game engine and MLAgents. **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**.
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