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Optimization Digital Card Game Board

Thanks to the supervision, guidance, and support of Professor William B. Lassiter at the University of North Carolina at Chapel Hill.

First, let me explain that dcg in the repository refers to digital card game. While our research will later use Hearthstone as a case study, I believe that our early optimization models are still highly applicable to the board control in various card games.

This is just a brief introduction to the overall project. For a more detailed intorduction, please refer to the README file above, which includes descriptions in both English and Simplified Chinese.

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