---
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).

## Training
| Steps | Mean reward (last 5 summaries) |
|---|---|
| 300,000 | 26.19 |

Full configuration: `configuration.yaml` / `config.json`.

## Watch the agent play
1. Go to https://huggingface.co/unity
2. Find your model_id: zeynpakn/ppo-SnowballTarget
3. Select the `SnowballTarget.onnx` file
4. Click on *Watch the agent play* 👀

## Resume training
```bash
mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
```

Course: https://huggingface.co/learn/deep-rl-course/unit5/introduction