zgx949/ppo-Huggy
By zgx949 · ↓ 0 · ♥ 0 · Updated 2025-10-17
What's in this repo
This page lists the files in zgx949/ppo-Huggy, including Huggy.onnx, Huggy-1000008.onnx, Huggy-199985.onnx and more.
- 8 ONNX models (.onnx files)
- 33 files, including 8 .onnx, 8 .pt, 7 .data, 3 .0, 3 .json, 1 .md
- Last updated 2025-10-17
ONNX files
| File | Size | Download |
|---|---|---|
| Huggy.onnx | — | Download |
| Huggy/Huggy-1000008.onnx | — | Download |
| Huggy/Huggy-199985.onnx | — | Download |
| Huggy/Huggy-399922.onnx | — | Download |
| Huggy/Huggy-599981.onnx | — | Download |
| Huggy/Huggy-799661.onnx | — | Download |
| Huggy/Huggy-870739.onnx | — | Download |
| Huggy/Huggy-999962.onnx | — | Download |
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
ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy using the Unity ML-Agents Library.
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: zgx949/ppo-Huggy
- Step 2: Select your .nn /.onnx file
- Click on Watch the agent play 👀
Model info
Created: 2025-10-17
Updated: 2025-10-17
View on Hugging FaceFiles (33)
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