research
∙
08/29/2023
Stochastic Graph Bandit Learning with Side-Observations
In this paper, we investigate the stochastic contextual bandit with gene...
share
research
∙
08/07/2023
Provably Efficient Learning in Partially Observable Contextual Bandit
In this paper, we investigate transfer learning in partially observable ...
research
∙
01/27/2023
Single-Trajectory Distributionally Robust Reinforcement Learning
As a framework for sequential decision-making, Reinforcement Learning (R...
research
∙
10/21/2022
Optimal Contextual Bandits with Knapsacks under Realizibility via Regression Oracles
We study the stochastic contextual bandit with knapsacks (CBwK) problem,...
research
∙
09/14/2022
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation
Among the reasons hindering reinforcement learning (RL) applications to ...
research
∙
09/07/2022
Dual Instrumental Method for Confounded Kernelized Bandits
The contextual bandit problem is a theoretically justified framework wit...
research
∙
06/16/2022
On Private Online Convex Optimization: Optimal Algorithms in â„“_p-Geometry and High Dimensional Contextual Bandits
Differentially private (DP) stochastic convex optimization (SCO) is ubiq...
research
∙
07/22/2021
Improving Blockchain Consistency by Assigning Weights to Random Blocks
Blockchains based on the celebrated Nakamoto consensus protocol have sho...
research
∙
06/07/2021
Generalized Linear Bandits with Local Differential Privacy
Contextual bandit algorithms are useful in personalized online decision-...
research
∙
01/09/2019
