ONNX Model Zoo

51nd0re1/poca-SoccerTwos

By 51nd0re1 · ↓ 1 · ♥ 0 · Updated 2025-02-08

What's in this repo

This page lists the files in 51nd0re1/poca-SoccerTwos, including SoccerTwos.onnx, SoccerTwos-100000009.onnx, SoccerTwos-110522.onnx and more.

  • 7 ONNX models (.onnx files)
  • 28 files, including 8 .pt, 7 .onnx, 6 .0, 3 .json, 1 .md, 1 .yaml
  • Last updated 2025-02-08

ONNX files

File Size Download
SoccerTwos.onnx — Download
SoccerTwos/SoccerTwos-100000009.onnx — Download
SoccerTwos/SoccerTwos-110522.onnx — Download
SoccerTwos/SoccerTwos-98499983.onnx — Download
SoccerTwos/SoccerTwos-98999986.onnx — Download
SoccerTwos/SoccerTwos-99499947.onnx — Download
SoccerTwos/SoccerTwos-99999997.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: 51nd0re1/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
↓ 1 ♥ 0

Created: 2025-02-08

Updated: 2025-02-08

View on Hugging Face

Files (28)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-0.pt
SoccerTwos/SoccerTwos-100000009.onnx ONNX
SoccerTwos/SoccerTwos-100000009.pt
SoccerTwos/SoccerTwos-110522.onnx ONNX
SoccerTwos/SoccerTwos-110522.pt
SoccerTwos/SoccerTwos-98499983.onnx ONNX
SoccerTwos/SoccerTwos-98499983.pt
SoccerTwos/SoccerTwos-98999986.onnx ONNX
SoccerTwos/SoccerTwos-98999986.pt
SoccerTwos/SoccerTwos-99499947.onnx ONNX
SoccerTwos/SoccerTwos-99499947.pt
SoccerTwos/SoccerTwos-99999997.onnx ONNX
SoccerTwos/SoccerTwos-99999997.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1738646548.tesla03.5092.0
SoccerTwos/events.out.tfevents.1738646627.tesla03.5457.0
SoccerTwos/events.out.tfevents.1738646947.tesla03.5870.0
SoccerTwos/events.out.tfevents.1738647027.tesla03.6546.0
SoccerTwos/events.out.tfevents.1738647259.tesla03.6944.0
SoccerTwos/events.out.tfevents.1738647345.tesla03.7360.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

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