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README.md CHANGED
@@ -8,21 +8,27 @@ tags:
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  ---
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  # **ppo** Agent playing **SnowballTarget**
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- This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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-
 
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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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-
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- 1. Go to https://huggingface.co/spaces/unity/ML-Agents-SnowballTarget
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  2. Step 1: Find your model_id: Jeibros/ppo-SnowballTarget
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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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  ---
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  # **ppo** Agent playing **SnowballTarget**
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+ This is a trained model of a **ppo** agent playing **SnowballTarget**
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+ using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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+
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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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+ 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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+ - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
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+ browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
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+ - A *longer tutorial* to understand how works ML-Agents:
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+ https://huggingface.co/learn/deep-rl-course/unit5/introduction
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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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+
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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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+
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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: Jeibros/ppo-SnowballTarget
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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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