Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use Mikepool117/ML-Agents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Mikepool117/ML-Agents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="Mikepool117/ML-Agents-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
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README.md
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# **ppo** Agent playing **Pyramids**
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This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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The Documentation: https://github.com/huggingface/ml-agents#get-started
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We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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### Resume the training
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```
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mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
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```
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### Watch your Agent play
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You can watch your agent **playing directly in your browser:**.
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1. Go to https://huggingface.co/spaces/unity/ML-Agents-Pyramids
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2. Step 1: Find your model_id: Mikepool117/ML-Agents-Pyramids
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3. Step 2: Select your *.nn /*.onnx file
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4. Click on Watch the agent play 👀
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# **ppo** Agent playing **Pyramids**
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This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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