Login / Signup

Bayesian deterministic decision making: a normative account of the operant matching law and heavy-tailed reward history dependency of choices.

Hiroshi SaitoKentaro KatahiraKazuo OkanoyaMasato Okada
Published in: Frontiers Comput. Neurosci. (2014)
Keyphrases
  • heavy tailed
  • prior distribution
  • reinforcement learning
  • generalized gaussian
  • heavy tails
  • posterior distribution
  • bayesian networks
  • multiscale
  • maximum likelihood
  • machine learning
  • graphical models
  • prior information