# rlcard-tutorial

**Repository Path**: sockl/rlcard-tutorial

## Basic Information

- **Project Name**: rlcard-tutorial
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-07-01
- **Last Updated**: 2024-07-01

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# RLCard Tutorial
This is an official tutorial for [RLCard: A Toolkit for Reinforcement Learning in Card Games](https://github.com/datamllab/rlcard). We provide step-by-step instructions and running examples with Jupyter Notebook in Python3. The tutorial is available in Colab, where you can try your experiments in the cloud interactively.
*   Official Website: [http://www.rlcard.org](http://www.rlcard.org)
*   Paper: [https://arxiv.org/abs/1910.04376](https://arxiv.org/abs/1910.04376)
*   Resources: [Awesome-Game-AI](https://github.com/datamllab/awesome-game-ai)

## For Python
### Tutorials in Jupyter Notebook
*   [Playing with Random Agents](https://github.com/datamllab/rlcard-tutorial/blob/master/random.ipynb)
*   [Training DQN on Blackjack](https://github.com/datamllab/rlcard-tutorial/blob/master/blackjack_dqn.ipynb)
*   [Training CFR on Leduc Hold'em](https://github.com/datamllab/rlcard-tutorial/blob/master/leduc_holdem_cfr.ipynb)
*   [Having Fun with Pretrained Leduc Model](https://github.com/datamllab/rlcard-tutorial/blob/master/leduc_holdem_pretrained.ipynb)
*   [Training DMC on Dou Dizhu](https://github.com/datamllab/rlcard-tutorial/blob/master/dmc_doudizhu.ipynb)

### Links to Colab
*   [Playing with Random Agents](https://colab.research.google.com/github/mia1996/rlcard-tutoirial/blob/master/random.ipynb)
*   [Training DQN on Blackjack](https://colab.research.google.com/github/mia1996/rlcard-tutoirial/blob/master/blackjack_dqn.ipynb)
*   [Training CFR on Leduc Hold'em](https://colab.research.google.com/github/mia1996/rlcard-tutoirial/blob/master/leduc_holdem_cfr.ipynb)
*   [Having Fun with Pretrained Leduc Model](https://colab.research.google.com/github/mia1996/rlcard-tutoirial/blob/master/leduc_holdem_pretrained.ipynb)
*   [Training DMC on Dou Dizhu](https://colab.research.google.com/github/mia1996/rlcard-tutoirial/blob/master/dmc_doudizhu.ipynb)

## Contributing
Contribution to this project is greatly appreciated! Please create an issue/pull request for feedbacks or more tutorials.

## Cite this work
If you find this repo useful, you may cite:

Zha, Daochen, et al. "RLCard: A Platform for Reinforcement Learning in Card Games." IJCAI. 2020.
```bibtex
@inproceedings{zha2020rlcard,
  title={RLCard: A Platform for Reinforcement Learning in Card Games},
  author={Zha, Daochen and Lai, Kwei-Herng and Huang, Songyi and Cao, Yuanpu and Reddy, Keerthana and Vargas, Juan and Nguyen, Alex and Wei, Ruzhe and Guo, Junyu and Hu, Xia},
  booktitle={IJCAI},
  year={2020}
}
```