tags: | |
- unity-ml-agents | |
- ml-agents | |
- deep-reinforcement-learning | |
- reinforcement-learning | |
- ML-Agents-SoccerTwos | |
library_name: 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://github.com/huggingface/ml-agents#get-started | |
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub: | |
### Resume the training | |
``` | |
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: Write your model_id: agercas/poca-SoccerTwos | |
3. Step 2: Select your *.nn /*.onnx file | |
4. Click on Watch the agent play ๐ | |