https://github.com/huggingface/huggy
Huggy is a Unity ML-Agents environment showcasing a dog mastering stick-catching through deep reinforcement learning.
https://github.com/huggingface/huggy
deep-reinforcement-learning ml-agents reinforcement-learning unity
Last synced: 3 months ago
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Huggy is a Unity ML-Agents environment showcasing a dog mastering stick-catching through deep reinforcement learning.
- Host: GitHub
- URL: https://github.com/huggingface/huggy
- Owner: huggingface
- Created: 2024-01-24T08:38:43.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-24T08:54:18.000Z (almost 2 years ago)
- Last Synced: 2025-09-30T18:02:28.681Z (4 months ago)
- Topics: deep-reinforcement-learning, ml-agents, reinforcement-learning, unity
- Homepage:
- Size: 6.84 KB
- Stars: 12
- Watchers: 7
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Huggy 🐶
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** 👉 [here](https://huggingface.co/spaces/ThomasSimonini/Huggy)
You can **learn to train Huggy using Deep Reinforcement Learning** 👉 [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**.