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Songyi Huang 2020-12-18 10:50:07 -08:00
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# RLCard Showdown
This is the GUI support for the [RLCard](https://github.com/datamllab/rlcard) project. The project provides evaluation and visualization tools to help understand the performance of the agents. Currently, we only support Leduc Hold'em and Dou Dizhu. The frontend is developed using [Node.js](https://nodejs.org/). The backend is based on [Django](https://www.djangoproject.com/). Have fun!
This is the GUI support for the [RLCard](https://github.com/datamllab/rlcard) project. The project provides evaluation and visualization tools to help understand the performance of the agents. Currently, we only support Leduc Hold'em and Dou Dizhu. The frontend is developed with [React](https://reactjs.org/). The backend is based on [Django](https://www.djangoproject.com/). Have fun!
* Official Website: [http://www.rlcard.org](http://www.rlcard.org)
* Tutorial in Jupyter Notebook: [https://github.com/datamllab/rlcard-tutorial](https://github.com/datamllab/rlcard-tutorial)
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```
### Run RLCard-Showdown
Launch the backend in with
Launch the backend with
```
cd server
python manage.py runserver
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```
npm start
```
The frontend would be started in port 3000 in localhost by default. You can view it at [http://127.0.0.1:3000/](http://127.0.0.1:3000/). The backend will run by default in [http://127.0.0.1:8000/](http://127.0.0.1:8000/).
The frontend will be started in port 3000 in localhost by default. You can view it at [http://127.0.0.1:3000/](http://127.0.0.1:3000/). The backend will run by default in [http://127.0.0.1:8000/](http://127.0.0.1:8000/).
More documentation can be found [here](docs/api.md).