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Numerical solutions to differential games based on approximations by Markov games

机译:基于马尔可夫博弈近似的微分对策数值解

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The dynamic programming equation arising in zero-sum differential games can be approximated by a sequence of finite-state Markov games that can be efficiently solved by a version of the modified policy iteration method. The authors use the approach to solve a combat problem related to the classical two-car game of R. Isaacs (Differential Games, Wiley, 1965). The results of this computational experiment indicate that the approach could be an effective tool for the solution of a variety of more complex models of conflict.
机译:零和微分博弈中出现的动态规划方程可以通过一系列有限状态马尔可夫博弈来近似,该有限状态马尔可夫博弈可以通过修改后的策略迭代方法的一种版本有效地求解。作者使用这种方法来解决与R.Isaacs的经典两车游戏(Differential Games,Wiley,1965年)有关的战斗问题。该计算实验的结果表明,该方法可能是解决各种更复杂的冲突模型的有效工具。

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