Search

Search Funnelback University

Search powered by Funnelback
1 - 17 of 17 search results for `optimal gambling` |u:www.statslab.cam.ac.uk
  1. Fully-matching results

  2. Optimization and Control

    www.statslab.cam.ac.uk/~rrw1/oc/index.html
    14 Jan 2016: Ther are applications of this course in science, economics and engineering (e.g., "insects as optimizers", "planning for retirement", "finding a parking space", "optimal gambling" and "steering a space craft to ... 4.2 Characterization of the optimal
  3. Optimization and Control

    www.statslab.cam.ac.uk/~rrw1/oc/index2014.html
    9 Oct 2014: Ther are applications of this course in science, economics and engineering (e.g., "insects as optimizers", "planning for retirement", "finding a parking space", "optimal gambling" and "steering a space craft to ... 4.2 Characterization of the optimal
  4. Optimization and Control

    www.statslab.cam.ac.uk/~rrw1/oc/index2013.html
    15 Sep 2014: Applications of this course are to be found in science, economics and engineering (e.g., "insects as optimizers", "planning for retirement", "finding a parking space", "optimal gambling" and "steering a space ... 4.2 Characterization of the optimal policy
  5. Abstract

    www.statslab.cam.ac.uk/~rrw1/abstracts/w82a.html
    20 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.
  6. 21 Mar 2012: 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. Optimization and Control

    www.statslab.cam.ac.uk/~rrw1/oc/index2012.html
    13 Mar 2012: Applications of this course are to be found in science, economics and engineering (e.g., "insects as optimizers", "planning for retirement", "finding a parking space", "optimal gambling" and "steering a space ... Bertsekas, D. P., Dynamic Programming and
  8. L.dvi

    www.statslab.cam.ac.uk/~rrw1/oc/L2010a4.pdf
    25 Nov 2010: 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.
  9. Optimization and Control · Course Blog

    www.statslab.cam.ac.uk/~rrw1/oc/blog.html
    16 Mar 2012: In Section 4.3 (optimal gambling) we saw that timid play is optimal in the gambling problem when the game is favorable to the gambler (p>=0.5). ... If p=0.5 all strategies are optimal. How could we prove that?
  10. Markov Chains Course Blog

    www.statslab.cam.ac.uk/~rrw1/markov/blog.html
    4 Sep 2012: The optimal sampling theorem also gives us a quick way to answer the first part of Example Sheet 1 #10. ... This fact is proved in the Part II course Optimization and Control (see Section 4.3 "Optimal gambling" in the Optimization and Control course notes
  11. 4 Dynamic optimization for non-negative rewards We show how ...

    www.statslab.cam.ac.uk/~james/Lectures/oc4.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.
  12. 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
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.

Refine your results

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.