ONNX Model Zoo

kavindumit/ML-Agents-SoccerTwos

By kavindumit · ↓ 0 · ♥ 0 · Updated 2026-01-01

What's in this repo

This page lists the files in kavindumit/ML-Agents-SoccerTwos, including SoccerTwos.onnx, SoccerTwos-1499996.onnx, SoccerTwos-1999982.onnx and more.

  • 8 ONNX models (.onnx files)
  • 32 files, including 8 .onnx, 8 .pt, 3 .pth, 3 .json, 2 .0, 1 .5f9beeffe605
  • Last updated 2026-01-01

ONNX files

File Size Download
SoccerTwos.onnx — Download
SoccerTwos/SoccerTwos-1499996.onnx — Download
SoccerTwos/SoccerTwos-1999982.onnx — Download
SoccerTwos/SoccerTwos-2499952.onnx — Download
SoccerTwos/SoccerTwos-2529318.onnx — Download
SoccerTwos/SoccerTwos-2999965.onnx — Download
SoccerTwos/SoccerTwos-3002512.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: 2025-12-18

Updated: 2026-01-01

View on Hugging Face

Files (32)

.gitattributes
.summary/0/events.out.tfevents.1760729974.5f9beeffe605
.summary/0/events.out.tfevents.1760734906.0fc242e83113
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-1499996.onnx ONNX
SoccerTwos/SoccerTwos-1499996.pt
SoccerTwos/SoccerTwos-1999982.onnx ONNX
SoccerTwos/SoccerTwos-1999982.pt
SoccerTwos/SoccerTwos-2499952.onnx ONNX
SoccerTwos/SoccerTwos-2499952.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-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
checkpoint_p0/best_000001213_4968448_reward_29.051.pth
checkpoint_p0/checkpoint_000001127_4616192.pth
checkpoint_p0/checkpoint_000001222_5005312.pth
config.json
configuration.yaml
replay.mp4
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json
sf_log.txt

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