A Pursuit-Evasion Game with Incomplete Information

A pursuit-evasion game with partial information is studied. The evader observes the initial conditions only. The pursuer observes both the initial conditions and the relative evader-pursuer position in additive noise. The paper shows that the optimal strategies of a partial information game may differ qualitatively from its full information counterpart. In the particular case at hand the evader's strategy may be random, something that does not happen in the deterministic case.

[1]  Max Mintz,et al.  On the solution of a minimax terminal state estimation problem-A Hilbert space approach , 1973, CDC 1973.

[2]  R.L. Raffard,et al.  Tractable Algorithm for Open Loop Stochastic Control , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[3]  R. Singer Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets , 1970, IEEE Transactions on Aerospace and Electronic Systems.

[4]  W. Wonham Some applications of stochastic difierential equations to optimal nonlinear ltering , 1964 .

[5]  D. Johansen Solution of a linear mean square estimation problem when process statistics are undefined , 1966 .

[6]  Peter J. Kempthorne,et al.  Numerical specification of discrete least favorable prior distributions , 1987 .

[7]  Tamer Basar,et al.  On a Minimax Estimate for the Mean of a Normal Random Vector Under a Generalized Quadratic Loss Function , 1973 .

[8]  W. Nelson,et al.  Minimax Solution of Statistical Decision Problems by Iteration , 1966 .

[9]  T. Kailath,et al.  An innovations approach to least-squares estimation--Part III: Nonlinear estimation in white Gaussian noise , 1971 .

[10]  P. Bickel Minimax Estimation of the Mean of a Normal Distribution when the Parameter Space is Restricted , 1981 .

[11]  Ilan Rusnak,et al.  Strategies in a Stochastic Pursuer-Evader Game , 2017 .

[12]  Chein-I Chang,et al.  Two iterative algorithms for finding minimax solutions , 1990, IEEE Trans. Inf. Theory.

[13]  Gerald S. Rogers,et al.  Mathematical Statistics: A Decision Theoretic Approach , 1967 .

[14]  G. Casella,et al.  Estimating a Bounded Normal Mean , 1981 .