|
--- |
|
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://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-SnowballTarget |
|
2. Step 1: Find your model_id: software-vagabond/ppo-SnowballTarget |
|
3. Step 2: Select your *.nn /*.onnx file |
|
4. Click on Watch the agent play 👀 |
|
|
