Many contemporary navigation applications rely on the well-known A* algorithm for pathfinding. We present a pathfinding technique utilizing the cross-entropy method and Bayesian networks that is capable of finding paths for multiple agents while satisfying rigid, optimization, and uncertainty constraints.

中文翻译：

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刚性、优化和不确定性约束下的多智能体寻路


许多当代导航应用程序都依赖于著名的 A* 算法进行寻路。我们提出了一种利用交叉熵方法和贝叶斯网络的寻路技术，能够为多个智能体找到路径，同时满足刚性、优化和不确定性约束。