ONNX Model Zoo

mgmeskill/ML-Agents-SnowballTarget

By mgmeskill · ↓ 0 · ♥ 0 · Updated 2023-08-04

What's in this repo

This page lists the files in mgmeskill/ML-Agents-SnowballTarget, including SnowballTarget.onnx, SnowballTarget-183944.onnx, SnowballTarget-185952.onnx and more.

  • 11 ONNX models (.onnx files)
  • 30 files, including 11 .onnx, 11 .pt, 3 .json, 1 .md, 1 .0, 1 .yaml
  • Last updated 2023-08-04

ONNX files

File Size Download
SnowballTarget.onnx — Download
SnowballTarget/SnowballTarget-183944.onnx — Download
SnowballTarget/SnowballTarget-185952.onnx — Download
SnowballTarget/SnowballTarget-187960.onnx — Download
SnowballTarget/SnowballTarget-189968.onnx — Download
SnowballTarget/SnowballTarget-191976.onnx — Download
SnowballTarget/SnowballTarget-193984.onnx — Download
SnowballTarget/SnowballTarget-195992.onnx — Download
SnowballTarget/SnowballTarget-197992.onnx — Download
SnowballTarget/SnowballTarget-199984.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: mgmeskill/ML-Agents-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
↓ 0 ♥ 0

Created: 2023-08-04

Updated: 2023-08-04

View on Hugging Face

Files (30)

.gitattributes
README.md
SnowballTarget.onnx ONNX
SnowballTarget/SnowballTarget-183944.onnx ONNX
SnowballTarget/SnowballTarget-183944.pt
SnowballTarget/SnowballTarget-185952.onnx ONNX
SnowballTarget/SnowballTarget-185952.pt
SnowballTarget/SnowballTarget-187960.onnx ONNX
SnowballTarget/SnowballTarget-187960.pt
SnowballTarget/SnowballTarget-189968.onnx ONNX
SnowballTarget/SnowballTarget-189968.pt
SnowballTarget/SnowballTarget-191976.onnx ONNX
SnowballTarget/SnowballTarget-191976.pt
SnowballTarget/SnowballTarget-193984.onnx ONNX
SnowballTarget/SnowballTarget-193984.pt
SnowballTarget/SnowballTarget-195992.onnx ONNX
SnowballTarget/SnowballTarget-195992.pt
SnowballTarget/SnowballTarget-197992.onnx ONNX
SnowballTarget/SnowballTarget-197992.pt
SnowballTarget/SnowballTarget-199984.onnx ONNX
SnowballTarget/SnowballTarget-199984.pt
SnowballTarget/SnowballTarget-200112.onnx ONNX
SnowballTarget/SnowballTarget-200112.pt
SnowballTarget/checkpoint.pt
SnowballTarget/events.out.tfevents.1691107550.09110923705d.1530.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

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