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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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