128 citations · 366 across the 32 of their papers we have counts for
6 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…
On Distributed Cooperative Decision-Making in Multiarmed Bandits
Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard
We study the explore-exploit tradeoff in distributed cooperative decision-making using the context of the multiarmed bandit (MAB) problem. For the distributed cooperative MAB probl…
A martingale analysis of first passage times of time-dependent Wiener diffusion models
Vaibhav Srivastava, Samuel F. Feng, Jonathan D. Cohen +2
Research in psychology and neuroscience has successfully modeled decision making as a process of noisy evidence accumulation to a decision bound. While there are several variants a…
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…
A Realization Theory for Bio-inspired Collective Decision-Making
Alessio Franci, Vaibhav Srivastava, Naomi Ehrich Leonard
The collective decision-making exhibited by animal groups provides enormous inspiration for multi-agent control system design as it embodies several features that are desirable in…
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…