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ppo-Huggy
Zybg/ppo-Huggy
ppo-Huggy is a machine learning model from Zybg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlagents.
This model was trained using Unity ML-Agents (PPO) to teach Huggy the Dog to fetch a stick.
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Public
Updated Oct 12, 2025
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.pt162 MB · 85%
At a glance
- Library
- mlagents
- Access
- Public
- Created
- Oct 12, 2025
- Updated
- Oct 12, 2025
- SHA
- e0642019
Model card
From the Hugging Face model README
🐶 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
🧠 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:
- Library
- mlagents
- Created
- Oct 12, 2025
- Updated
- Oct 12, 2025