SnowballTarget model

README.md

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+---
+library_name: ml-agents
+tags:
+- SnowballTarget
+- deep-reinforcement-learning
+- reinforcement-learning
+- ML-Agents-SnowballTarget
+---
+
+# **ppo** Agent playing **SnowballTarget**
+This is a trained model of a **ppo** agent playing **SnowballTarget**
+using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
+
+## Usage (with ML-Agents)
+The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
+
+We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
+- A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
+browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
+- A *longer tutorial* to understand how works ML-Agents:
+https://huggingface.co/learn/deep-rl-course/unit5/introduction
+
+### Resume the training
+```bash
+mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume