4 papers · 1 filter
Kernel Single-Index Bandits: Estimation, Inference, and Learning
Sakshi Arya, Satarupa Bhattacharjee, Bharath K. Sriperumbudur
We study contextual bandits with finitely many actions in which the reward of each arm follows a single-index model with an arm-specific index parameter and an unknown nonparametri…
Non-Linear Model-Based Sequential Decision-Making in Agriculture
Sakshi Arya, Wentao Lin
Agricultural decision-making faces a dual challenge: sustaining high yields to meet global food security needs while reducing the environmental impacts of input use, including fert…
Batched Nonparametric Bandits via k-Nearest Neighbor UCB
Sakshi Arya
We study sequential decision-making in batched nonparametric contextual bandits, where actions are selected over a finite horizon divided into a small number of batches. Motivated…
Batched Single-Index Global Multi-Armed Bandits with Covariates
Sakshi Arya, Hyebin Song
The multi-armed bandits (MAB) framework is a widely used approach for sequential decision-making, where a decision-maker selects an arm in each round with the goal of maximizing lo…