
doi: 10.1137/0319033
This paper considers play in a two-person zero-sum differential game where the dynamics are given by a differential equation with additive white noise. Feedback strategies are employed. Standard results from control theory show that the maximizing player has an optimal response to any pre-announced strategy of the minimizing player. Here it is shown that the minimizing player can achieve the upper value of the game by playing a strategy which is constructed by performing a pointwise min-max on a certain fixed Hamiltonian function.
Probabilistic games; gambling, martingale, Dynamic programming in optimal control and differential games, submartingale, Dynamic programming, Existence of optimal solutions to problems involving randomness, feedback strategies, Hamiltonian function, two-person zero-sum differential game, additive white noise, Differential games (aspects of game theory), upper-value, Game theory
Probabilistic games; gambling, martingale, Dynamic programming in optimal control and differential games, submartingale, Dynamic programming, Existence of optimal solutions to problems involving randomness, feedback strategies, Hamiltonian function, two-person zero-sum differential game, additive white noise, Differential games (aspects of game theory), upper-value, Game theory
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