ONNX Model Zoo

StaffanRolfsson/poca-SoccerTwos

By StaffanRolfsson · ↓ 0 · ♥ 0 · Updated 2024-12-21

What's in this repo

This page lists the files in StaffanRolfsson/poca-SoccerTwos, including SoccerTwos.onnx, SoccerTwos-18499976.onnx, SoccerTwos-18999986.onnx and more.

  • 6 ONNX models (.onnx files)
  • 20 files, including 6 .onnx, 6 .pt, 3 .json, 1 .md, 1 .0, 1 .yaml
  • Last updated 2024-12-21

ONNX files

File Size Download
SoccerTwos.onnx — Download
SoccerTwos/SoccerTwos-18499976.onnx — Download
SoccerTwos/SoccerTwos-18999986.onnx — Download
SoccerTwos/SoccerTwos-19499994.onnx — Download
SoccerTwos/SoccerTwos-19999947.onnx — Download
SoccerTwos/SoccerTwos-20112074.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


library_name: ml-agents tags:

  • SoccerTwos
  • deep-reinforcement-learning
  • reinforcement-learning
  • ML-Agents-SoccerTwos

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: StaffanRolfsson/poca-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: 2024-12-21

Updated: 2024-12-21

View on Hugging Face

Files (20)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-18499976.onnx ONNX
SoccerTwos/SoccerTwos-18499976.pt
SoccerTwos/SoccerTwos-18999986.onnx ONNX
SoccerTwos/SoccerTwos-18999986.pt
SoccerTwos/SoccerTwos-19499994.onnx ONNX
SoccerTwos/SoccerTwos-19499994.pt
SoccerTwos/SoccerTwos-19999947.onnx ONNX
SoccerTwos/SoccerTwos-19999947.pt
SoccerTwos/SoccerTwos-20112074.onnx ONNX
SoccerTwos/SoccerTwos-20112074.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1734705412.BOOK-84GJTT8CD8.17484.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

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