Agog/BASE
By Agog · ↓ 0 · ♥ 0 · Updated 2023-04-10
What's in this repo
This page lists the files in Agog/BASE, including SoccerTwos.onnx, SoccerTwos-1000000024.onnx, SoccerTwos-998499754.onnx and more.
- 6 ONNX models (.onnx files)
- 37 files, including 15 .0, 6 .onnx, 6 .pt, 4 .log, 3 .json, 1 .md
- Last updated 2023-04-10
ONNX files
| File | Size | Download |
|---|---|---|
| SoccerTwos.onnx | — | Download |
| SoccerTwos/SoccerTwos-1000000024.onnx | — | Download |
| SoccerTwos/SoccerTwos-998499754.onnx | — | Download |
| SoccerTwos/SoccerTwos-998999970.onnx | — | Download |
| SoccerTwos/SoccerTwos-999499908.onnx | — | Download |
| SoccerTwos/SoccerTwos-999999936.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
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
library_name: ml-agents
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://github.com/huggingface/ml-agents#get-started We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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:.
- Go to https://huggingface.co/spaces/unity/ML-Agents-SoccerTwos
- Step 1: Write your model_id: Agog/BASE
- Step 2: Select your .nn /.onnx file
- Click on Watch the agent play 👀
Model info
Created: 2023-04-10
Updated: 2023-04-10
View on Hugging Face