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- W2323057311 abstract "Given a finite number of different experiments with unknown probabilities p 1 , p 2 , ···, p k of success, the multi-armed bandit problem is concerned with maximising the expected number of successes in a sequence of trials. There are many policies which ensure that the proportion of successes converges to p = max ( p 1 , p 2 , ···, p k ), in the long run. This property is established for a class of decision procedures which rely on randomisation, at each stage, in selecting the experiment for the next trial. Further, it is suggested that some of these procedures might perform well over any finite sequence of trials." @default.
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- W2323057311 date "1980-03-01" @default.
- W2323057311 modified "2023-09-27" @default.
- W2323057311 title "Randomised allocation of treatments in sequential trials" @default.
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- W2323057311 doi "https://doi.org/10.2307/1426500" @default.
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