hungtrab/ppo-Huggy
By hungtrab · ↓ 1 · ♥ 0 · Updated 2025-09-22
What's in this repo
This page lists the files in hungtrab/ppo-Huggy, including Huggy.onnx, Huggy-1199932.onnx, Huggy-1399968.onnx and more.
- 12 ONNX models (.onnx files)
- 32 files, including 12 .onnx, 12 .pt, 3 .json, 1 .0, 1 .md, 1 .yaml
- Last updated 2025-09-22
ONNX files
| File | Size | Download |
|---|---|---|
| Huggy.onnx | — | Download |
| Huggy/Huggy-1199932.onnx | — | Download |
| Huggy/Huggy-1399968.onnx | — | Download |
| Huggy/Huggy-1599730.onnx | — | Download |
| Huggy/Huggy-1799969.onnx | — | Download |
| Huggy/Huggy-199754.onnx | — | Download |
| Huggy/Huggy-1999795.onnx | — | Download |
| Huggy/Huggy-2000054.onnx | — | Download |
| Huggy/Huggy-399890.onnx | — | Download |
| Huggy/Huggy-599747.onnx | — | Download |
Showing 10 of 12 .onnx files — see the full file list on the right.
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
Dependencies
You should use python 3.10.* (I used 3.10.12) to be able to train properly
ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy using the Unity ML-Agents Library.
Watch the agent play on https://huggingface.co/spaces/ThomasSimonini/Huggy
Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A short tutorial where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
- A longer tutorial to understand how works ML-Agents: https://huggingface.co/learn/deep-rl-course/unit5/introduction
Resume the training
mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
Watch your Agent play
You can watch your agent playing directly in your browser
- If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
- Step 1: Find your model_id: hungtrab/ppo-Huggy
- Step 2: Select your .nn /.onnx file
- Click on Watch the agent play 👀
Model info
Created: 2025-08-21
Updated: 2025-09-22
View on Hugging Face