Deciding when to quit the gambler's ruin game with unknown probabilities
نویسندگان
چکیده
In the standard definition of classical gambler's ruin game, a persistent player enters in stochastic process with an initial budget b0, which is, round after round, either increased by 1 probability p, or decreased 1?p. The wins game if reaches given objective value g, and loses drops to zero (the gambler is ruined). This article introduces decisional gambling process, where parameter p hidden, has possibility stop at any keeping earnings. this case, best can do maintain estimate based on observed outcomes, use it decide whether better stay quit game. main contribution bring question finding optimal stopping time Different heuristics are analyzed evaluated according their performance maximizing expected final budget.
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2021
ISSN: ['1873-4731', '0888-613X']
DOI: https://doi.org/10.1016/j.ijar.2021.06.013