jinsung5337/poca-SoccerTwos
By jinsung5337 · ↓ 0 · ♥ 0 · Updated 2025-02-11
What's in this repo
This page lists the files in jinsung5337/poca-SoccerTwos, including 3DBall.onnx, 3DBallHard.onnx, Visual3DBall.onnx and more.
- 34 ONNX models (.onnx files)
- 2231 files, including 813 .meta, 331 .cs, 240 .png, 240 .py, 102 .md, 63 .prefab
- Last updated 2025-02-11
ONNX files
| File | Size | Download |
|---|---|---|
| Project/Assets/ML-Agents/Examples/3DBall/TFModels/3DBall.onnx | — | Download |
| Project/Assets/ML-Agents/Examples/3DBall/TFModels/3DBallHard.onnx | — | Download |
| Project/Assets/ML-Agents/Examples/3DBall/TFModels/Visual3DBall.onnx | — | Download |
| Project/Assets/ML-Agents/Examples/Basic/TFModels/Basic.onnx | — | Download |
| Project/Assets/ML-Agents/Examples/Crawler/TFModels/Crawler.onnx | — | Download |
| Project/Assets/ML-Agents/Examples/DungeonEscape/TFModels/DungeonEscape.onnx | — | Download |
| Project/Assets/ML-Agents/Examples/FoodCollector/TFModels/GridFoodCollector.onnx | — | Download |
| Project/Assets/ML-Agents/Examples/FoodCollector/TFModels/VisualFoodCollector.onnx | — | Download |
| Project/Assets/ML-Agents/Examples/GridFoodCollector.onnx | — | Download |
| Project/Assets/ML-Agents/Examples/GridWorld/TFModels/GridWorld.onnx | — | Download |
Showing 10 of 34 .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
poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos 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: jinsung5337/poca-SoccerTwos
- Step 2: Select your .nn /.onnx file
- Click on Watch the agent play 👀
Model info
reinforcement-learning
ml-agents
ml-agents
onnx
SoccerTwos
deep-reinforcement-learning
reinforcement-learning
ML-Agents-SoccerTwos
region:us
↓ 0
♥ 0
Created: 2025-02-11
Updated: 2025-02-11
View on Hugging FaceFiles (2231)
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