ONNX Model Zoo

ZZanty/ML-Agents-SoccerTwos-2

By ZZanty · ↓ 0 · ♥ 0 · Updated 2024-12-20

What's in this repo

This page lists the files in ZZanty/ML-Agents-SoccerTwos-2, including SoccerTwos.onnx, SoccerTwos-1499476.onnx, SoccerTwos-1999900.onnx and more.

  • 11 ONNX models (.onnx files)
  • 34 files, including 11 .onnx, 11 .pt, 5 .0, 3 .json, 1 .md, 1 .yaml
  • Last updated 2024-12-20

ONNX files

File Size Download
SoccerTwos.onnx — Download
SoccerTwos/SoccerTwos-1499476.onnx — Download
SoccerTwos/SoccerTwos-1999900.onnx — Download
SoccerTwos/SoccerTwos-2127036.onnx — Download
SoccerTwos/SoccerTwos-3499014.onnx — Download
SoccerTwos/SoccerTwos-3507014.onnx — Download
SoccerTwos/SoccerTwos-3999270.onnx — Download
SoccerTwos/SoccerTwos-4499894.onnx — Download
SoccerTwos/SoccerTwos-4653084.onnx — Download
SoccerTwos/SoccerTwos-499916.onnx — Download

Showing 10 of 11 .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

  1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
  2. Step 1: Find your model_id: ZZanty/ML-Agents-SoccerTwos-2
  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: 2024-12-20

View on Hugging Face

Files (34)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-1499476.onnx ONNX
SoccerTwos/SoccerTwos-1499476.pt
SoccerTwos/SoccerTwos-1999900.onnx ONNX
SoccerTwos/SoccerTwos-1999900.pt
SoccerTwos/SoccerTwos-2127036.onnx ONNX
SoccerTwos/SoccerTwos-2127036.pt
SoccerTwos/SoccerTwos-3499014.onnx ONNX
SoccerTwos/SoccerTwos-3499014.pt
SoccerTwos/SoccerTwos-3507014.onnx ONNX
SoccerTwos/SoccerTwos-3507014.pt
SoccerTwos/SoccerTwos-3999270.onnx ONNX
SoccerTwos/SoccerTwos-3999270.pt
SoccerTwos/SoccerTwos-4499894.onnx ONNX
SoccerTwos/SoccerTwos-4499894.pt
SoccerTwos/SoccerTwos-4653084.onnx ONNX
SoccerTwos/SoccerTwos-4653084.pt
SoccerTwos/SoccerTwos-499916.onnx ONNX
SoccerTwos/SoccerTwos-499916.pt
SoccerTwos/SoccerTwos-999880.onnx ONNX
SoccerTwos/SoccerTwos-999880.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1734632691.e5c17e9ae0a6.922.0
SoccerTwos/events.out.tfevents.1734645124.e5c17e9ae0a6.50647.0
SoccerTwos/events.out.tfevents.1734645150.e5c17e9ae0a6.50811.0
SoccerTwos/events.out.tfevents.1734654324.e5c17e9ae0a6.87446.0
SoccerTwos/events.out.tfevents.1734663165.e5c17e9ae0a6.122762.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

Related models