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--- |
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library_name: ml-agents |
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tags: |
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- Huggy |
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- deep-reinforcement-learning |
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- reinforcement-learning |
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- ML-Agents-Huggy |
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--- |
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# **ppo** Agent playing **Huggy** |
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This is a trained model of a **ppo** agent playing **Huggy** |
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using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). |
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## Usage (with ML-Agents) |
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The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/ |
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### Resume the training |
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```bash |
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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. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity |
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2. Step 1: Find your model_id: Ketan3101/rl-ppo-Huggy |
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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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