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Randomization and Simplification

Author

Listed:
  • Ehud Kalai
  • Eilon Solan

Abstract

Randomization may add beneficial flexibility to the construction of optimal simple decision rules in dynamic environments. A decision maker, restricted to the use of simple rules, may find a stochastic rule that strictly outperforms all deterministic ones. This is true even in highly separable Markovian environments where the set of feasible choices is stationary and the decision maker's choices have no influence on future payoff functions. In separable environments, however, the period selection of an action can still be deterministic; only the transitions in the evolution of his behavior may require randomization.

Suggested Citation

  • Ehud Kalai & Eilon Solan, 2000. "Randomization and Simplification," Discussion Papers 1283, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  • Handle: RePEc:nwu:cmsems:1283
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    File URL: http://www.kellogg.northwestern.edu/research/math/papers/1283.pdf
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    References listed on IDEAS

    as
    1. Aumann, Robert J., 1974. "Subjectivity and correlation in randomized strategies," Journal of Mathematical Economics, Elsevier, vol. 1(1), pages 67-96, March.
    2. Piccione, Michele & Rubinstein, Ariel, 1997. "On the Interpretation of Decision Problems with Imperfect Recall," Games and Economic Behavior, Elsevier, vol. 20(1), pages 3-24, July.
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    More about this item

    Keywords

    Markovian decision making; simple strategies; automata; deterministic decision rules; random decision rules;
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