ONNX Model Zoo

jariasn/ML-Agents-Pyramids

By jariasn · ↓ 1 · ♥ 0 · Updated 2023-07-31

What's in this repo

This page lists the files in jariasn/ML-Agents-Pyramids, including Pyramids-499967.onnx, Pyramids-577828.onnx.

  • 2 ONNX models (.onnx files)
  • 10 files, including 3 .pt, 2 .onnx, 1 .md, 1 .json, 1 .yaml, 1 .0
  • Last updated 2023-07-31

ONNX files

File Size Download
Pyramids-499967.onnx — Download
Pyramids-577828.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

ppo Agent playing Pyramids

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

Model info

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

Created: 2023-07-31

Updated: 2023-07-31

View on Hugging Face

Files (10)

.gitattributes
Pyramids-499967.onnx ONNX
Pyramids-499967.pt
Pyramids-577828.onnx ONNX
Pyramids-577828.pt
README.md
checkpoint.pt
config.json
configuration.yaml
events.out.tfevents.1690821348.36a1994c5afd.3386.0

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