ONNX Model Zoo

S1X3L4/poca-SoccerTwos

By S1X3L4 · ↓ 1 · ♥ 0 · Updated 2023-07-27

What's in this repo

This page lists the files in S1X3L4/poca-SoccerTwos, including SoccerTwos.onnx, SoccerTwos-32999976.onnx, SoccerTwos-33499988.onnx and more.

  • 10 ONNX models (.onnx files)
  • 32 files, including 11 .pt, 10 .onnx, 4 .0, 3 .json, 1 .md, 1 .yaml
  • Last updated 2023-07-27

ONNX files

File Size Download
SoccerTwos.onnx — Download
SoccerTwos/SoccerTwos-32999976.onnx — Download
SoccerTwos/SoccerTwos-33499988.onnx — Download
SoccerTwos/SoccerTwos-33999823.onnx — Download
SoccerTwos/SoccerTwos-34499996.onnx — Download
SoccerTwos/SoccerTwos-48499960.onnx — Download
SoccerTwos/SoccerTwos-48999890.onnx — Download
SoccerTwos/SoccerTwos-49499986.onnx — Download
SoccerTwos/SoccerTwos-49999932.onnx — Download
SoccerTwos/SoccerTwos-50000032.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: S1X3L4/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: 2023-07-27

Updated: 2023-07-27

View on Hugging Face

Files (32)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-32999976.onnx ONNX
SoccerTwos/SoccerTwos-32999976.pt
SoccerTwos/SoccerTwos-33499988.onnx ONNX
SoccerTwos/SoccerTwos-33499988.pt
SoccerTwos/SoccerTwos-33999823.onnx ONNX
SoccerTwos/SoccerTwos-33999823.pt
SoccerTwos/SoccerTwos-342072.pt
SoccerTwos/SoccerTwos-34499996.onnx ONNX
SoccerTwos/SoccerTwos-34499996.pt
SoccerTwos/SoccerTwos-48499960.onnx ONNX
SoccerTwos/SoccerTwos-48499960.pt
SoccerTwos/SoccerTwos-48999890.onnx ONNX
SoccerTwos/SoccerTwos-48999890.pt
SoccerTwos/SoccerTwos-49499986.onnx ONNX
SoccerTwos/SoccerTwos-49499986.pt
SoccerTwos/SoccerTwos-49999932.onnx ONNX
SoccerTwos/SoccerTwos-49999932.pt
SoccerTwos/SoccerTwos-50000032.onnx ONNX
SoccerTwos/SoccerTwos-50000032.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1690296231.alexis-desktop.18207.0
SoccerTwos/events.out.tfevents.1690297347.alexis-desktop.19070.0
SoccerTwos/events.out.tfevents.1690297366.alexis-desktop.19199.0
SoccerTwos/events.out.tfevents.1690418682.alexis-desktop.12168.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

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