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RLCard Tutorial

This is an official tutorial for RLCard: A Toolkit for Reinforcement Learning in Card Games. 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.

For Python

Tutorials in Jupyter Notebook

Links to Colab

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.

@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}
}