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1 - 10 of 17 search results for `optimal gambling` |u:www.statslab.cam.ac.uk

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  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. Optimization and Control Contents Table of Contents i Schedules ...

    www.statslab.cam.ac.uk/~rrw1/oc/oc2012.pdf
    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.

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