README.md

metadata

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

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: Write your model_id: rebolforces/testpyramidsrnd
3. Step 2: Select your .nn /.onnx file
4. Click on Watch the agent play 👀

Stats

"final_checkpoint": {
     "steps": 3000022,
     "file_path": "results/Pyramids Training2/Pyramids.onnx",
     "reward": 1.87466665605704,
     "creation_time": 1660985715.2452054,
     "auxillary_file_paths": [
         "results/Pyramids Training2/Pyramids/Pyramids-3000022.pt"
     ]
}