ONNX Model Zoo

adrian-nf/ML-Agents-SoccerTwos

By adrian-nf · ↓ 0 · ♥ 0 · Updated 2024-12-19

What's in this repo

This page lists the files in adrian-nf/ML-Agents-SoccerTwos, including SoccerTwos.onnx, SoccerTwos-1499996.onnx, SoccerTwos-5000056.onnx and more.

  • 8 ONNX models (.onnx files)
  • 27 files, including 8 .onnx, 8 .pt, 4 .0, 3 .json, 1 .md, 1 .yaml
  • Last updated 2024-12-19

ONNX files

File Size Download
SoccerTwos.onnx — Download
SoccerTwos/SoccerTwos-1499996.onnx — Download
SoccerTwos/SoccerTwos-5000056.onnx — Download
SoccerTwos/SoccerTwos-5499935.onnx — Download
SoccerTwos/SoccerTwos-5999990.onnx — Download
SoccerTwos/SoccerTwos-6499958.onnx — Download
SoccerTwos/SoccerTwos-6999950.onnx — Download
SoccerTwos/SoccerTwos-999808.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

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

  1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
  2. Step 1: Find your model_id: adrian-nf/ML-Agents-SoccerTwos
  3. Step 2: Select your .nn /.onnx file
  4. Click on Watch the agent play 👀

Model info

ml-agents tensorboard onnx SoccerTwos deep-reinforcement-learning reinforcement-learning ML-Agents-SoccerTwos region:us
↓ 0 ♥ 0

Created: 2024-12-19

Updated: 2024-12-19

View on Hugging Face

Files (27)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-1499996.onnx ONNX
SoccerTwos/SoccerTwos-1499996.pt
SoccerTwos/SoccerTwos-5000056.onnx ONNX
SoccerTwos/SoccerTwos-5000056.pt
SoccerTwos/SoccerTwos-5499935.onnx ONNX
SoccerTwos/SoccerTwos-5499935.pt
SoccerTwos/SoccerTwos-5999990.onnx ONNX
SoccerTwos/SoccerTwos-5999990.pt
SoccerTwos/SoccerTwos-6499958.onnx ONNX
SoccerTwos/SoccerTwos-6499958.pt
SoccerTwos/SoccerTwos-6999950.onnx ONNX
SoccerTwos/SoccerTwos-6999950.pt
SoccerTwos/SoccerTwos-999808.onnx ONNX
SoccerTwos/SoccerTwos-999808.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1734109292.5f48e360a8d4.13516.0
SoccerTwos/events.out.tfevents.1734126926.5f48e360a8d4.83953.0
SoccerTwos/events.out.tfevents.1734616700.2f009e8add97.3249.0
SoccerTwos/events.out.tfevents.1734636363.2f009e8add97.81734.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

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