ONNX Model Zoo

adrian-nf/ML-Agents-SoccerTwos-Good

By adrian-nf · ↓ 2 · ♥ 0 · Updated 2024-12-19

What's in this repo

This page lists the files in adrian-nf/ML-Agents-SoccerTwos-Good, including SoccerTwos.onnx, SoccerTwos-0.onnx, SoccerTwos-1499996.onnx and more.

  • 9 ONNX models (.onnx files)
  • 30 files, including 10 .pt, 9 .onnx, 4 .0, 3 .json, 1 .md, 1 .yaml
  • Last updated 2024-12-19

ONNX files

File Size Download
SoccerTwos.onnx — Download
SoccerTwos/SoccerTwos-0.onnx — Download
SoccerTwos/SoccerTwos-1499996.onnx — Download
SoccerTwos/SoccerTwos-2529318.onnx — Download
SoccerTwos/SoccerTwos-2999965.onnx — Download
SoccerTwos/SoccerTwos-3002512.onnx — Download
SoccerTwos/SoccerTwos-3499992.onnx — Download
SoccerTwos/SoccerTwos-3999988.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
↓ 2 ♥ 0

Created: 2024-12-19

Updated: 2024-12-19

View on Hugging Face

Files (30)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-0.onnx ONNX
SoccerTwos/SoccerTwos-0.pt
SoccerTwos/SoccerTwos-1499996.onnx ONNX
SoccerTwos/SoccerTwos-1499996.pt
SoccerTwos/SoccerTwos-2529318.onnx ONNX
SoccerTwos/SoccerTwos-2529318.pt
SoccerTwos/SoccerTwos-2999965.onnx ONNX
SoccerTwos/SoccerTwos-2999965.pt
SoccerTwos/SoccerTwos-3002512.onnx ONNX
SoccerTwos/SoccerTwos-3002512.pt
SoccerTwos/SoccerTwos-3499992.onnx ONNX
SoccerTwos/SoccerTwos-3499992.pt
SoccerTwos/SoccerTwos-3999988.onnx ONNX
SoccerTwos/SoccerTwos-3999988.pt
SoccerTwos/SoccerTwos-4009816.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.1734603564.bd0db198c331.2271.0
SoccerTwos/events.out.tfevents.1734609954.bd0db198c331.27829.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

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