ONNX Model Zoo

gameofdimension/poca-SoccerTwos

By gameofdimension · ↓ 1 · ♥ 0 · Updated 2023-06-15

What's in this repo

This page lists the files in gameofdimension/poca-SoccerTwos, including SoccerTwos.onnx, SoccerTwos-1499292.onnx, SoccerTwos-1999100.onnx and more.

  • 8 ONNX models (.onnx files)
  • 26 files, including 8 .onnx, 8 .pt, 3 .0, 3 .json, 1 .md, 1 .yaml
  • Last updated 2023-06-15

ONNX files

File Size Download
SoccerTwos.onnx — Download
SoccerTwos/SoccerTwos-1499292.onnx — Download
SoccerTwos/SoccerTwos-1999100.onnx — Download
SoccerTwos/SoccerTwos-2499998.onnx — Download
SoccerTwos/SoccerTwos-2794.onnx — Download
SoccerTwos/SoccerTwos-2999942.onnx — Download
SoccerTwos/SoccerTwos-3499972.onnx — Download
SoccerTwos/SoccerTwos-51926.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: felixdae/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: 2023-06-14

Updated: 2023-06-15

View on Hugging Face

Files (26)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-1499292.onnx ONNX
SoccerTwos/SoccerTwos-1499292.pt
SoccerTwos/SoccerTwos-1999100.onnx ONNX
SoccerTwos/SoccerTwos-1999100.pt
SoccerTwos/SoccerTwos-2499998.onnx ONNX
SoccerTwos/SoccerTwos-2499998.pt
SoccerTwos/SoccerTwos-2794.onnx ONNX
SoccerTwos/SoccerTwos-2794.pt
SoccerTwos/SoccerTwos-2999942.onnx ONNX
SoccerTwos/SoccerTwos-2999942.pt
SoccerTwos/SoccerTwos-3499972.onnx ONNX
SoccerTwos/SoccerTwos-3499972.pt
SoccerTwos/SoccerTwos-51926.onnx ONNX
SoccerTwos/SoccerTwos-51926.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1686748283.d37089838a3f.5113.0
SoccerTwos/events.out.tfevents.1686748708.d37089838a3f.6889.0
SoccerTwos/events.out.tfevents.1686748801.d37089838a3f.7330.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

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