In imperfect information games (e.g. Bridge, Skat, Poker), one of the fundamental considerations is to infer the missing information while at the same time avoiding the disclosure of private information. Disregarding the issue of protecting private information can lead to a highly exploitable performance. Yet, excessive attention to it leads to hesitations that are no longer consistent with our private information. In our work, we show that to improve performance, one must choose whether to use a player's private information. We extend our work by proposing a new belief distribution depending on the amount of private and public information desired. We empirically demonstrate an increase in performance and, with the aim of further improving performance, the new distribution should be used according to the position in the game. Our experiments have been done on multiple benchmarks and in multiple determinization-based algorithms (PIMC and IS-MCTS).

翻译：在不完全信息博弈（如桥牌、斯卡特、扑克）中，核心考量之一是在推断缺失信息的同时避免泄露私有信息。忽视保护私有信息的问题可能导致极易被对手利用的表现。然而，过度关注此问题又会产生与私有信息不一致的犹豫行为。本研究证明，为提升博弈表现，必须对是否使用玩家的私有信息做出明确选择。我们通过提出一种根据所需私有与公共信息量调整的新型信念分布来拓展研究。实验证明该分布能提升博弈表现，且为进一步优化性能，应根据博弈中的位置动态调整分布使用策略。我们的实验在多个基准测试中完成，并应用于多种基于确定化的算法（PIMC与IS-MCTS）。