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Ray00007/mlagents-SoccerTwos-POCA-AIVS

By Ray00007 · ↓ 0 · ♥ 0 · Updated 2025-10-30

What's in this repo

This page lists the files in Ray00007/mlagents-SoccerTwos-POCA-AIVS, including SoccerTwos.onnx.

  • 1 ONNX models (.onnx files)
  • 6 files, including 1 .md, 1 .mp4, 1 .onnx, 1 .yaml
  • Last updated 2025-10-30

ONNX files

File Size Download
SoccerTwos.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

license: mit library_name: mlagents tags:

  • reinforcement-learning
  • unity
  • mlagents
  • poca
  • self-play
  • deep-reinforcement-learning
  • soccer

ML-Agents POCA model for SoccerTwos

This is a model trained using POCA (Proximal Policy Optimization with Centralized Actor) for the SoccerTwos environment from Unity ML-Agents.

  • Run ID: Soccersend
  • Training ELO: 1532.72 (at ~5M steps)
  • Config: See SoccerTwos.yaml for all hyperparameters.

How to use (with ML-Agents):

  1. Download the SoccerTwos.onnx and SoccerTwos.yaml files.
  2. Create a folder structure results/Soccersend/
  3. Place SoccerTwos.onnx inside results/Soccersend/
  4. Download the SoccerTwos environment.
  5. Run the inference command:
mlagents-learn ./SoccerTwos.yaml --env= --run-id=Soccersend --inference --resume

Model info

reinforcement-learning mlagents
mlagents onnx reinforcement-learning unity poca self-play deep-reinforcement-learning soccer license:mit region:us
↓ 0 ♥ 0

Created: 2025-10-30

Updated: 2025-10-30

View on Hugging Face

Files (6)

.gitattributes
README.md
SoccerTwos
SoccerTwos.mp4
SoccerTwos.onnx ONNX
SoccerTwos.yaml

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