Ppo Pushblock 9M

🚀 PPO Agent Playing PushBlock

This is a trained model of a PPO agent playing PushBlock using the Unity ML - Agents Library, which offers a solution for deep reinforcement learning in the Unity environment.

🚀 Quick Start

This is a trained model of a PPO agent playing PushBlock using the Unity ML - Agents Library.

📚 Documentation

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.

💻 Usage Examples

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-PushBlock
2. Step 1: Write your model_id: rebolforces/ppo-pushblock-9M
3. Step 2: Select your .nn /.onnx file
4. Click on Watch the agent play 👀

Stats

"final_checkpoint": {
    "steps": 9000019,
    "file_path": "results/PushBlock Training 2/PushBlock.onnx",
    "reward": 4.981160132090251,
    "creation_time": 1661076513.4570658,
    "auxillary_file_paths": [
      "results/PushBlock Training 2/PushBlock/PushBlock-9000019.pt"
    ]
}