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README.md

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 # RLCard: A Toolkit for Reinforcement Learning in Card Games
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 RLCard is a opensource toolkit for developing Reinforcement Learning (RL) algorithms in card games. It supports multiple challenging card game environments with common and easy-to-use interfaces. The  goal  of  the  toolkit  is  to  enable  more  people  to  study  game  AI  and  push  forward  the  research of imperfect information games. RLCard is developed by [DATA Lab](http://faculty.cs.tamu.edu/xiahu/) at Texas A&M University. **NOTE: The project is still in final testing!**