ONNX Model Zoo

Max100ce/poca-SoccerTwos

By Max100ce · ↓ 0 · ♥ 0 · Updated 2023-03-18

What's in this repo

This page lists the files in Max100ce/poca-SoccerTwos, including SoccerTwos-24999991.onnx, SoccerTwos-25499954.onnx, SoccerTwos-25999874.onnx and more.

  • 10 ONNX models (.onnx files)
  • 31 files, including 12 .pt, 10 .onnx, 3 .json, 2 .0, 1 .md, 1 .yaml
  • Last updated 2023-03-18

ONNX files

File Size Download
SoccerTwos/SoccerTwos-24999991.onnx — Download
SoccerTwos/SoccerTwos-25499954.onnx — Download
SoccerTwos/SoccerTwos-25999874.onnx — Download
SoccerTwos/SoccerTwos-26499956.onnx — Download
SoccerTwos/SoccerTwos-26999882.onnx — Download
SoccerTwos/SoccerTwos-7999972.onnx — Download
SoccerTwos/SoccerTwos-8499988.onnx — Download
SoccerTwos/SoccerTwos-8999945.onnx — Download
SoccerTwos/SoccerTwos-9499928.onnx — Download
SoccerTwos/SoccerTwos-9999962.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


  tags:
  - unity-ml-agents
  - ml-agents
  - deep-reinforcement-learning
  - reinforcement-learning
  - ML-Agents-SoccerTwos
  library_name: ml-agents

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://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-SoccerTwos
  2. Step 1: Write your model_id: Max100ce/poca-SoccerTwos
  3. Step 2: Select your .nn /.onnx file
  4. Click on Watch the agent play 👀

Model info

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

Created: 2023-03-18

Updated: 2023-03-18

View on Hugging Face

Files (31)

.gitattributes
README.md
SoccerTwos/SoccerTwos-24999991.onnx ONNX
SoccerTwos/SoccerTwos-24999991.pt
SoccerTwos/SoccerTwos-25499954.onnx ONNX
SoccerTwos/SoccerTwos-25499954.pt
SoccerTwos/SoccerTwos-25999874.onnx ONNX
SoccerTwos/SoccerTwos-25999874.pt
SoccerTwos/SoccerTwos-26499956.onnx ONNX
SoccerTwos/SoccerTwos-26499956.pt
SoccerTwos/SoccerTwos-26999882.onnx ONNX
SoccerTwos/SoccerTwos-26999882.pt
SoccerTwos/SoccerTwos-27148520.pt
SoccerTwos/SoccerTwos-7999972.onnx ONNX
SoccerTwos/SoccerTwos-7999972.pt
SoccerTwos/SoccerTwos-8499988.onnx ONNX
SoccerTwos/SoccerTwos-8499988.pt
SoccerTwos/SoccerTwos-8999945.onnx ONNX
SoccerTwos/SoccerTwos-8999945.pt
SoccerTwos/SoccerTwos-9499928.onnx ONNX
SoccerTwos/SoccerTwos-9499928.pt
SoccerTwos/SoccerTwos-9999962.onnx ONNX
SoccerTwos/SoccerTwos-9999962.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1679067364.maxence.342.0
SoccerTwos/events.out.tfevents.1679120436.maxence.58.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

Related models