ONNX Model Zoo

saurabh2086/ppo-SnowballTarget

By saurabh2086 · ↓ 1 · ♥ 0 · Updated 2023-08-11

What's in this repo

This page lists the files in saurabh2086/ppo-SnowballTarget, including SnowballTarget.onnx, SnowballTarget-249944.onnx, SnowballTarget-299968.onnx and more.

  • 11 ONNX models (.onnx files)
  • 32 files, including 11 .onnx, 11 .pt, 3 .0, 3 .json, 1 .md, 1 .yaml
  • Last updated 2023-08-11

ONNX files

File Size Download
SnowballTarget.onnx — Download
SnowballTarget/SnowballTarget-249944.onnx — Download
SnowballTarget/SnowballTarget-299968.onnx — Download
SnowballTarget/SnowballTarget-332112.onnx — Download
SnowballTarget/SnowballTarget-349968.onnx — Download
SnowballTarget/SnowballTarget-399968.onnx — Download
SnowballTarget/SnowballTarget-449992.onnx — Download
SnowballTarget/SnowballTarget-499952.onnx — Download
SnowballTarget/SnowballTarget-549976.onnx — Download
SnowballTarget/SnowballTarget-599976.onnx — Download

Showing 10 of 11 .onnx files — see the full file list on the right.

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

ppo Agent playing SnowballTarget

This is a trained model of a ppo agent playing SnowballTarget 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: saurabh2086/ppo-SnowballTarget
  3. Step 2: Select your .nn /.onnx file
  4. Click on Watch the agent play 👀

Model info

ml-agents tensorboard onnx SnowballTarget deep-reinforcement-learning reinforcement-learning ML-Agents-SnowballTarget region:us
↓ 1 ♥ 0

Created: 2023-08-11

Updated: 2023-08-11

View on Hugging Face

Files (32)

.gitattributes
README.md
SnowballTarget.onnx ONNX
SnowballTarget/SnowballTarget-249944.onnx ONNX
SnowballTarget/SnowballTarget-249944.pt
SnowballTarget/SnowballTarget-299968.onnx ONNX
SnowballTarget/SnowballTarget-299968.pt
SnowballTarget/SnowballTarget-332112.onnx ONNX
SnowballTarget/SnowballTarget-332112.pt
SnowballTarget/SnowballTarget-349968.onnx ONNX
SnowballTarget/SnowballTarget-349968.pt
SnowballTarget/SnowballTarget-399968.onnx ONNX
SnowballTarget/SnowballTarget-399968.pt
SnowballTarget/SnowballTarget-449992.onnx ONNX
SnowballTarget/SnowballTarget-449992.pt
SnowballTarget/SnowballTarget-499952.onnx ONNX
SnowballTarget/SnowballTarget-499952.pt
SnowballTarget/SnowballTarget-549976.onnx ONNX
SnowballTarget/SnowballTarget-549976.pt
SnowballTarget/SnowballTarget-599976.onnx ONNX
SnowballTarget/SnowballTarget-599976.pt
SnowballTarget/SnowballTarget-627616.onnx ONNX
SnowballTarget/SnowballTarget-627616.pt
SnowballTarget/checkpoint.pt
SnowballTarget/events.out.tfevents.1691761845.d7be97b937fe.3160.0
SnowballTarget/events.out.tfevents.1691762733.d7be97b937fe.6931.0
SnowballTarget/events.out.tfevents.1691763671.d7be97b937fe.10919.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

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