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- W2030488046 abstract "In a decision process (gambling or dynamic programming problem) with finite state space and arbitrary decision sets (gambles or actions), there is always available a Markov strategy which uniformly (nearly) maximizes the average time spent at a goal. If the decision sets are closed, there is even a stationary strategy with the same property. Examples are given to show that approximations by discounted or finite horizon payoffs are not useful for the general average reward problem." @default.
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- W2030488046 date "1984-07-01" @default.
- W2030488046 modified "2023-10-18" @default.
- W2030488046 title "On maximizing the average time at a goal" @default.
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- W2030488046 doi "https://doi.org/10.1016/0304-4149(84)90010-3" @default.
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