ONNX Model Zoo

Emperor/ppo-Pyramids-1M

By Emperor · ↓ 0 · ♥ 0 · Updated 2023-03-21

What's in this repo

This page lists the files in Emperor/ppo-Pyramids-1M, including Pyramids.onnx, Pyramids-1000050.onnx, Pyramids-499906.onnx and more.

  • 4 ONNX models (.onnx files)
  • 16 files, including 4 .onnx, 4 .pt, 3 .json, 1 .0, 1 .md, 1 .yaml
  • Last updated 2023-03-21

ONNX files

File Size Download
Pyramids.onnx — Download
Pyramids/Pyramids-1000050.onnx — Download
Pyramids/Pyramids-499906.onnx — Download
Pyramids/Pyramids-999922.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://github.com/huggingface/ml-agents#get-started We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:

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. Go to https://huggingface.co/spaces/unity/ML-Agents-Pyramids
  2. Step 1: Find your model_id: Emperor/ppo-Pyramids-1M
  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: 2023-03-21

Updated: 2023-03-21

View on Hugging Face

Files (16)

.gitattributes
Pyramids.onnx ONNX
Pyramids/Pyramids-1000050.onnx ONNX
Pyramids/Pyramids-1000050.pt
Pyramids/Pyramids-499906.onnx ONNX
Pyramids/Pyramids-499906.pt
Pyramids/Pyramids-999922.onnx ONNX
Pyramids/Pyramids-999922.pt
Pyramids/checkpoint.pt
Pyramids/events.out.tfevents.1679431913.145e06898d14.32432.0
README.md
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

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