2016
Learning under uncertainty: a comparison between R-W and Bayesian approach
NeurIPS 2016poster
Accurately differentiating between what are truly unpredictably random and systematic changes that occur at random can have profound effect on affect and cognition. To examine the underlying computational principles that guide different learning behavior in an uncertain environment, we compared an R…