---
library_name: mlagents
tags:
- unity
- ppo
- huggingface-deep-rl-course
- Huggy
---

# 🐶 PPO-Trained Huggy Agent

This model was trained using **Unity ML-Agents (PPO)** to teach Huggy the Dog to fetch a stick.

➡️ **Play with it here:**  
👉 [https://huggingface.co/spaces/ThomasSimonini/Huggy](https://huggingface.co/spaces/ThomasSimonini/Huggy)

## 🧠 Training Details
- **Algorithm:** PPO  
- **Environment:** Huggy (fetch-the-stick dog game)  
- **Framework:** Unity ML-Agents v1.2.0  
- **Reward Design:** +orientation bonus    −time penalty    −rotation penalty  
- **Max Steps:** 2 × 10⁶  
- **Checkpoint interval:** 200 000  

You can replay this model in the Huggy Space by entering: