Type of Document	Master's Thesis
Author	Dutsch, Ryan A
URN	etd-0709103-110308
Title	A Risk-Averse Strategy for Blackjack Using Fractional Dynamic Programming
Degree	Master of Science (M.S.)
Department	Mathematics
Advisory Committee	Advisor Name Title George Cochran Committee Chair James Geaghan Committee Member William Adkins Committee Member
Keywords	strategy dynamic programming blackjack
Date of Defense	2003-07-07
Availability	unrestricted
Abstract We present how blackjack is related to a discrete-time control problem, rather than a zero-sum game. Using the compiler Visual C++, we write a program for a strategy for blackjack, but instead of maximizing the expected value, we use a risk-averse approach. We briefly describe how this risk-averse strategy is solved by using a special type of dynamic programming called fractional dynamic programming.
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