ONNX Model Zoo

mgmeskill/downstrike-40m

By mgmeskill · ↓ 0 · ♥ 0 · Updated 2023-08-31

What's in this repo

This page lists the files in mgmeskill/downstrike-40m, including SoccerTwos.onnx, SoccerTwos-11999994.onnx, SoccerTwos-13793658.onnx and more.

  • 8 ONNX models (.onnx files)
  • 87 files, including 64 .log, 8 .onnx, 8 .pt, 3 .json, 1 .md, 1 .0
  • Last updated 2023-08-31

ONNX files

File Size Download
SoccerTwos.onnx — Download
SoccerTwos/SoccerTwos-11999994.onnx — Download
SoccerTwos/SoccerTwos-13793658.onnx — Download
SoccerTwos/SoccerTwos-20518.onnx — Download
SoccerTwos/SoccerTwos-32106.onnx — Download
SoccerTwos/SoccerTwos-39999966.onnx — Download
SoccerTwos/SoccerTwos-40000060.onnx — Download
SoccerTwos/SoccerTwos-9999912.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

poca Agent playing SoccerTwos

This is a trained model of a poca agent playing SoccerTwos 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/downstrike-40m
  3. Step 2: Select your .nn /.onnx file
  4. Click on Watch the agent play 👀

Model info

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

Created: 2023-08-31

Updated: 2023-08-31

View on Hugging Face

Files (87)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-11999994.onnx ONNX
SoccerTwos/SoccerTwos-11999994.pt
SoccerTwos/SoccerTwos-13793658.onnx ONNX
SoccerTwos/SoccerTwos-13793658.pt
SoccerTwos/SoccerTwos-20518.onnx ONNX
SoccerTwos/SoccerTwos-20518.pt
SoccerTwos/SoccerTwos-32106.onnx ONNX
SoccerTwos/SoccerTwos-32106.pt
SoccerTwos/SoccerTwos-39999966.onnx ONNX
SoccerTwos/SoccerTwos-39999966.pt
SoccerTwos/SoccerTwos-40000060.onnx ONNX
SoccerTwos/SoccerTwos-40000060.pt
SoccerTwos/SoccerTwos-9999912.onnx ONNX
SoccerTwos/SoccerTwos-9999912.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1693444510.soundwave.1440893.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/Player-1.log
run_logs/Player-10.log
run_logs/Player-11.log
run_logs/Player-12.log
run_logs/Player-13.log
run_logs/Player-14.log
run_logs/Player-15.log
run_logs/Player-16.log
run_logs/Player-17.log
run_logs/Player-18.log
run_logs/Player-19.log
run_logs/Player-2.log
run_logs/Player-20.log
run_logs/Player-21.log
run_logs/Player-22.log
run_logs/Player-23.log
run_logs/Player-24.log
run_logs/Player-25.log
run_logs/Player-26.log
run_logs/Player-27.log
run_logs/Player-28.log
run_logs/Player-29.log
run_logs/Player-3.log
run_logs/Player-30.log
run_logs/Player-31.log
run_logs/Player-32.log
run_logs/Player-33.log
run_logs/Player-34.log
run_logs/Player-35.log
run_logs/Player-36.log
run_logs/Player-37.log
run_logs/Player-38.log
run_logs/Player-39.log
run_logs/Player-4.log
run_logs/Player-40.log
run_logs/Player-41.log
run_logs/Player-42.log
run_logs/Player-43.log
run_logs/Player-44.log
run_logs/Player-45.log
run_logs/Player-46.log
run_logs/Player-47.log
run_logs/Player-48.log
run_logs/Player-49.log
run_logs/Player-5.log
run_logs/Player-50.log
run_logs/Player-51.log
run_logs/Player-52.log
run_logs/Player-53.log
run_logs/Player-54.log
run_logs/Player-55.log
run_logs/Player-56.log
run_logs/Player-57.log
run_logs/Player-58.log
run_logs/Player-59.log
run_logs/Player-6.log
run_logs/Player-60.log
run_logs/Player-61.log
run_logs/Player-62.log
run_logs/Player-63.log
run_logs/Player-7.log
run_logs/Player-8.log
run_logs/Player-9.log
run_logs/timers.json
run_logs/training_status.json

Related models