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11 - 17 of 17 search results for `optimal gambling` |u:www.statslab.cam.ac.uk
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  2. DOMINANT STRATEGIES IN STOCHASTIC ALLOCATION AND SCHEDULING PROBLEMS…

    www.statslab.cam.ac.uk/~rrw1/publications/Weber%20-%20Nash%201982%20Dominant%20strategies%20in%20stochastic%20allocation%20and%20scheduling%20problems.pdf
    18 Sep 2011: The condition is used to establish the nature of the optimal strategies for problems of customer assignment, dynamic memory allocation, optimal gambling, maintenance and scheduling. ... Example 3. Optimal Gambling. Ross [8J considers a problem of
  3. THE THEORY OF OPTIMAL STOPPING RICHARD Re WEBER DOWNING ...

    www.statslab.cam.ac.uk/~rrw1/publications/The%20theory%20of%20optimal%20stopping%20(Part%20III%20essay).pdf
    21 Oct 2011: THE THEORY OF OPTIMAL STOPPING. RICHARD Re WEBER. DOWNING COLLEGE. C.Ali!BRIDGE. ... of random sequences in gambling and statistical decision. Often. one desires to know the optimal instant to bx•eak off playing a.
  4. Optimization and Control J.R. Norris November 22, 2007 1 ...

    www.statslab.cam.ac.uk/~james/Lectures/oc.pdf
    22 Nov 2007: X0,. , Xn). Define also the optimal reward or value function. V (x) = supu. ... Example (Optimal gambling). A gambler has one pound and wishes to increase it to Npounds.
  5. L.dvi

    www.statslab.cam.ac.uk/~rrw1/oc/La5.pdf
    14 Jun 2007: 134.2 Characterization of the optimal policy. 134.3 Example: optimal gambling. 144.4 Value iteration. ... Either way, we have F (π, x) F (π′, x). 4.3 Example: optimal gambling.
  6. 8 Mar 2016: 13. 4.2 Characterization of the optimal policy. 13. 4.3 Example: optimal gambling. ... Either way, we have F(π,x) F(π′,x). 13. 4.3 Example: optimal gambling.
  7. 29 Nov 2014: 13. 4.2 Characterization of the optimal policy. 13. 4.3 Example: optimal gambling. ... Either way, we have F(π,x) F(π′,x). 13. 4.3 Example: optimal gambling.
  8. 22 May 2013: 13. 4.2 Characterization of the optimal policy. 13. 4.3 Example: optimal gambling. ... Either way, we have F(π, x) F(π′, x). 13. 4.3 Example: optimal gambling.

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