ONNX Model Zoo

Tyraex/ppo-Pyramids

By Tyraex · ↓ 1 · ♥ 0 · Updated 2025-10-17

What's in this repo

This page lists the files in Tyraex/ppo-Pyramids, including Pyramids.onnx, Pyramids-1000040.onnx, Pyramids-1499929.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 2025-10-17

ONNX files

File Size Download
Pyramids.onnx — Download
Pyramids/Pyramids-1000040.onnx — Download
Pyramids/Pyramids-1499929.onnx — Download
Pyramids/Pyramids-1999978.onnx — Download
Pyramids/Pyramids-2499997.onnx — Download
Pyramids/Pyramids-2999904.onnx — Download
Pyramids/Pyramids-3000032.onnx — Download
Pyramids/Pyramids-499902.onnx — Download
Pyramids/Pyramids-499922.onnx — Download
Pyramids/Pyramids-999912.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 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: Tyraex/ppo-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: 2025-10-17

Updated: 2025-10-17

View on Hugging Face

Files (32)

.gitattributes
Pyramids.onnx ONNX
Pyramids/Pyramids-1000040.onnx ONNX
Pyramids/Pyramids-1000040.pt
Pyramids/Pyramids-1499929.onnx ONNX
Pyramids/Pyramids-1499929.pt
Pyramids/Pyramids-1999978.onnx ONNX
Pyramids/Pyramids-1999978.pt
Pyramids/Pyramids-2499997.onnx ONNX
Pyramids/Pyramids-2499997.pt
Pyramids/Pyramids-2999904.onnx ONNX
Pyramids/Pyramids-2999904.pt
Pyramids/Pyramids-3000032.onnx ONNX
Pyramids/Pyramids-3000032.pt
Pyramids/Pyramids-499902.onnx ONNX
Pyramids/Pyramids-499902.pt
Pyramids/Pyramids-499922.onnx ONNX
Pyramids/Pyramids-499922.pt
Pyramids/Pyramids-999912.onnx ONNX
Pyramids/Pyramids-999912.pt
Pyramids/Pyramids-999964.onnx ONNX
Pyramids/Pyramids-999964.pt
Pyramids/checkpoint.pt
Pyramids/events.out.tfevents.1760691413.auriga.370963.0
Pyramids/events.out.tfevents.1760693557.auriga.374583.0
Pyramids/events.out.tfevents.1760702218.auriga.384869.0
README.md
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

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