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--- |
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tags: |
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- unity-ml-agents |
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- ml-agents |
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- deep-reinforcement-learning |
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- reinforcement-learning |
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- ML-Agents-AGVAgent |
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library_name: ml-agents |
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--- |
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# **poca** Agent playing **AGVAgent** |
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This is a trained model of a **poca** agent playing **AGVAgent** 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://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-AGVAgent |
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2. Step 1: Write your model_id: cm107/agv-demo |
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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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