ONNX Model Zoo

aadickk/RL7

By aadickk · ↓ 2 · ♥ 0 · Updated 2024-11-25

What's in this repo

This page lists the files in aadickk/RL7, including SoccerTwos.onnx, SoccerTwos-124400.onnx, SoccerTwos-1499767.onnx and more.

  • 7 ONNX models (.onnx files)
  • 24 files, including 7 .onnx, 7 .pt, 3 .0, 3 .json, 1 .md, 1 .yaml
  • Last updated 2024-11-25

ONNX files

File Size Download
SoccerTwos.onnx — Download
SoccerTwos/SoccerTwos-124400.onnx — Download
SoccerTwos/SoccerTwos-1499767.onnx — Download
SoccerTwos/SoccerTwos-1999826.onnx — Download
SoccerTwos/SoccerTwos-2444484.onnx — Download
SoccerTwos/SoccerTwos-499618.onnx — Download
SoccerTwos/SoccerTwos-999318.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: aadickk/RL7
  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
↓ 2 ♥ 0

Created: 2024-11-25

Updated: 2024-11-25

View on Hugging Face

Files (24)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-124400.onnx ONNX
SoccerTwos/SoccerTwos-124400.pt
SoccerTwos/SoccerTwos-1499767.onnx ONNX
SoccerTwos/SoccerTwos-1499767.pt
SoccerTwos/SoccerTwos-1999826.onnx ONNX
SoccerTwos/SoccerTwos-1999826.pt
SoccerTwos/SoccerTwos-2444484.onnx ONNX
SoccerTwos/SoccerTwos-2444484.pt
SoccerTwos/SoccerTwos-499618.onnx ONNX
SoccerTwos/SoccerTwos-499618.pt
SoccerTwos/SoccerTwos-999318.onnx ONNX
SoccerTwos/SoccerTwos-999318.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1732520753.DESKTOP-9MP9NCB.9496.0
SoccerTwos/events.out.tfevents.1732520957.DESKTOP-9MP9NCB.3452.0
SoccerTwos/events.out.tfevents.1732556675.DESKTOP-9MP9NCB.20132.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

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