Dynamic Programming and Gambling Models

Abstract

In the paper the author formulates and obtains optimal gambling strategies for certain gambling models. This is done by setting these models within the framework of dynamic programming (also referred to as Markovian decision processes) and then using results in this field.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1972
Accession Number
AD0750285

Entities

People

  • Sheldon M. Ross

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • California
  • Computer Programming
  • Dynamic Programming
  • Engineering
  • Equations
  • Gambling
  • Industrial Engineering
  • Integrals
  • Military Research
  • North Carolina
  • Operations Research
  • Probability
  • Random Variables
  • Stationary
  • Transitions
  • United States
  • Universities

Readers

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  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.