Let

be a Markov process with finite state space and transition probabilities

depending on u
iand

State 0 is the capture state (where the game ends;

;

and

are the pursuer and evader strategies, respectively, and are to be chosen so that capture is advanced or delayed and the cost
![C_{i^{u,v}} = E[Sum_{0}^{\\infty } k (u(X_{n}), v(X_{n}), X_{n}) | X_{0} = i]](/images/tex/5508.gif)
is minimaxed (or maximined), where

. The existence of a saddle point and optimal strategy pair or e-optimal strategy pair is considered under several conditions. Recursive schemes for computing the optimal or ε-optimal pairs are given.