README.md

---

library_name: ml-agents
tags:
- SoccerTwos
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SoccerTwos
- ml-agents
---


# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos** 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:
- [Deep RL Course Unit 7](https://huggingface.co/learn/deep-rl-course/unit7/introduction)

### Resume the training
```bash

mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume

```

### Watch your Agent play
You can watch your agent **playing directly in your browser:**

1. Go to https://huggingface.co/spaces/unity/ML-Agents-SoccerTwos
2. Step 1: Find your model_id: `umesh251/poca-SoccerTwos`

3. Step 2: Select your `SoccerTwos.onnx` file

4. Click on **Watch the agent play 👀**