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引用次数: 52
摘要
我们考虑一个多人游戏,在一个普通的二维域上,N个攻击者和N个防御者之间进行简单的动态移动。攻击者试图通过发送至少M个(1≤M≤N)到目标位置来赢得游戏,而防御者试图通过捕获它们来阻止攻击者这样做。该博弈的分析在碰撞避免、运动规划和飞机控制等涉及合作agent的应用中起着重要的作用。当N > 1时,游戏的高维性使得计算任意一边的最优解变得棘手。即使N = 1,解也很困难。为了解决这个问题,我们提出了1 vs. 1问题的一个有效的近似解决方案。我们将近似解称为“路径防御解”,它对防御者是保守的。这可以作为多人游戏近似解决方案的构建块。与解决1对1博弈的经典Hamilton-Jacobi-Isaacs方法相比,我们的新方法速度快了几个数量级,并且随着玩家数量的增加而扩展得更好。
A path defense approach to the multiplayer reach-avoid game
We consider a multiplayer reach-avoid game played between N attackers and N defenders moving with simple dynamics on a general two-dimensional domain. The attackers attempt to win the game by sending at least M of them (1 ≤ M ≤ N) to a target location while the defenders try to prevent the attackers from doing so by capturing them. The analysis of this game plays an important role in collision avoidance, motion planning, and aircraft control, among other applications involving cooperative agents. The high dimensionality of the game makes computing an optimal solution for either side intractable when N > 1. The solution is difficult even when N = 1. To address this issue, we present an efficient, approximate solution to the 1 vs. 1 problem. We call the approximate solution the “path defense solution”, which is conservative towards the defenders. This serves as a building block for an approximate solution of the multiplayer game. Compared to the classical Hamilton-Jacobi-Isaacs approach for solving the 1 vs. 1 game, our new method is orders of magnitude faster, and scales much better with the number of players.