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search results for `optimal gambling` |u:www.statslab.cam.ac.uk
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Optimization and Control
www.statslab.cam.ac.uk/~rrw1/oc/index2012.html13 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 -
Optimization and Control · Course Blog
www.statslab.cam.ac.uk/~rrw1/oc/blog.html16 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? -
Markov Chains Course Blog
www.statslab.cam.ac.uk/~rrw1/markov/blog.html4 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 -
Optimization and Control Contents Table of Contents i Schedules ...
www.statslab.cam.ac.uk/~rrw1/oc/oc2012.pdf21 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.
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