469 citations · 488 across the 5 of their papers we have counts for
3 papers · 1 filter
Satisficing in multi-armed bandit problems
Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard
Satisficing is a relaxation of maximizing and allows for less risky decision making in the face of uncertainty. We propose two sets of satisficing objectives for the multi-armed ba…
Correlated Multiarmed Bandit Problem: Bayesian Algorithms and Regret Analysis
Vaibhav Srivastava, Paul Reverdy, Naomi Ehrich Leonard
We consider the correlated multiarmed bandit (MAB) problem in which the rewards associated with each arm are modeled by a multivariate Gaussian random variable, and we investigate…
Parameter estimation in softmax decision-making models with linear objective functions
Paul Reverdy, Naomi E. Leonard
With an eye towards human-centered automation, we contribute to the development of a systematic means to infer features of human decision-making from behavioral data. Motivated by…