451 citations · 1.7k across the 73 of their papers we have counts for
5 papers · 1 filter
Learning to Price with Reference Effects
Abbas Kazerouni, Benjamin Van Roy
As a firm varies the price of a product, consumers exhibit reference effects, making purchase decisions based not only on the prevailing price but also the product's price history.…
On Optimistic versus Randomized Exploration in Reinforcement Learning
Ian Osband, Benjamin Van Roy
We discuss the relative merits of optimistic and randomized approaches to exploration in reinforcement learning. Optimistic approaches presented in the literature apply an optimist…
Ensemble Sampling
Xiuyuan Lu, Benjamin Van Roy
Thompson sampling has emerged as an effective heuristic for a broad range of online decision problems. In its basic form, the algorithm requires computing and sampling from a poste…
Time-Sensitive Bandit Learning and Satisficing Thompson Sampling
Daniel Russo, David Tse, Benjamin Van Roy
The literature on bandit learning and regret analysis has focused on contexts where the goal is to converge on an optimal action in a manner that limits exploration costs. One shor…
Gaussian-Dirichlet Posterior Dominance in Sequential Learning
Ian Osband, Benjamin Van Roy
We consider the problem of sequential learning from categorical observations bounded in [0,1]. We establish an ordering between the Dirichlet posterior over categorical outcomes an…