ONNX Model Zoo

s14pe/ppo-Pyramid

By s14pe · ↓ 0 · ♥ 0 · Updated 2024-03-07

What's in this repo

This page lists the files in s14pe/ppo-Pyramid, including Pyramids.onnx, Pyramids-1000039.onnx, Pyramids-1499903.onnx and more.

  • 11 ONNX models (.onnx files)
  • 35 files, including 11 .onnx, 11 .pt, 6 .0, 3 .json, 1 .md, 1 .yaml
  • Last updated 2024-03-07

ONNX files

File Size Download
Pyramids.onnx — Download
Pyramids/Pyramids-1000039.onnx — Download
Pyramids/Pyramids-1499903.onnx — Download
Pyramids/Pyramids-1999919.onnx — Download
Pyramids/Pyramids-1999990.onnx — Download
Pyramids/Pyramids-2000102.onnx — Download
Pyramids/Pyramids-2100049.onnx — Download
Pyramids/Pyramids-2499999.onnx — Download
Pyramids/Pyramids-2999998.onnx — Download
Pyramids/Pyramids-3000126.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: s14pe/ppo-Pyramid
  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
↓ 0 ♥ 0

Created: 2024-03-07

Updated: 2024-03-07

View on Hugging Face

Files (35)

.gitattributes
Pyramids.onnx ONNX
Pyramids/Pyramids-1000039.onnx ONNX
Pyramids/Pyramids-1000039.pt
Pyramids/Pyramids-1499903.onnx ONNX
Pyramids/Pyramids-1499903.pt
Pyramids/Pyramids-1999919.onnx ONNX
Pyramids/Pyramids-1999919.pt
Pyramids/Pyramids-1999990.onnx ONNX
Pyramids/Pyramids-1999990.pt
Pyramids/Pyramids-2000102.onnx ONNX
Pyramids/Pyramids-2000102.pt
Pyramids/Pyramids-2100049.onnx ONNX
Pyramids/Pyramids-2100049.pt
Pyramids/Pyramids-2499999.onnx ONNX
Pyramids/Pyramids-2499999.pt
Pyramids/Pyramids-2999998.onnx ONNX
Pyramids/Pyramids-2999998.pt
Pyramids/Pyramids-3000126.onnx ONNX
Pyramids/Pyramids-3000126.pt
Pyramids/Pyramids-999911.onnx ONNX
Pyramids/Pyramids-999911.pt
Pyramids/checkpoint.pt
Pyramids/events.out.tfevents.1709831665.54b79351de07.19820.0
Pyramids/events.out.tfevents.1709839089.54b79351de07.49573.0
Pyramids/events.out.tfevents.1709842175.54b79351de07.62222.0
Pyramids/events.out.tfevents.1709842345.54b79351de07.62956.0
Pyramids/events.out.tfevents.1709845030.54b79351de07.73755.0
Pyramids/events.out.tfevents.1709849499.54b79351de07.91689.0
README.md
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

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