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Criteria for decision-making in games against nature under uncertainty in form of Jupyter Notebook. Supports Wald's, Savage, Hurwicz, Hodges–Lehmann, Laplace, Maximum Expected Utility, Minimum Expected Regret criteria.

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Criteria for decision-making in games against nature under uncertainty

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A Game Against Nature is a 1-player game, in which a single rational self-interested player must choose a strategy, and the outcome and the player’s payoff depends on both his chosen strategy and the “choice” made by a totally disinterested nature. Nature's practical role is to act as a random number generator.

Implemented criteria:

  • Wald criterion
  • Savage criterion
  • Hurwicz criterion
  • Hodges–Lehmann criterion
  • Laplace criterion
  • Maximum Expected Payoff criterion
  • Minimum Expected Regret criterion
  • and more

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Criteria for decision-making in games against nature under uncertainty in form of Jupyter Notebook. Supports Wald's, Savage, Hurwicz, Hodges–Lehmann, Laplace, Maximum Expected Utility, Minimum Expected Regret criteria.

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