This project forked from peterjiawhite/superhuman_ai_in_multiplayer_poker_-
该论文主要介绍了美国卡内基梅隆大学团队，在多人德州扑克上的人工智能新思路，即不再简单寻找纳什均衡，而引入悔恨值的概念，自我博弈，并采用蒙特卡洛CFR方法，构建蓝图，该方法通用性强，该团队声称他们的德州扑克蓝图只在两枚CPU运算8天即可得出蓝图，即可以实现实时博弈。现已经有国内团队将其用在了斗地主上面，成效显著。
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