Analysis of Thompson Sampling for Partially Observable Contextual
Multi-Armed Bandits

Analysis of Thompson Sampling for Partially Observable Contextual Multi-Armed Bandits

23 October 2021

Mohamad Kazem Shirani Faradonbeh

Papers citing "Analysis of Thompson Sampling for Partially Observable Contextual Multi-Armed Bandits"

9 / 9 papers shown

Title
Partially Observable Contextual Bandits with Linear Payoffs Sihan Zeng Sujay Bhatt Alec Koppel Sumitra Ganesh OffRL 24 1 0 17 Sep 2024
Thompson Sampling in Partially Observable Contextual Bandits Hongju Park Mohamad Kazem Shirani Faradonbeh 31 2 0 15 Feb 2024
Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysis Sharu Theresa Jose Shana Moothedath 30 2 0 21 Jan 2024
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints Jiabin Lin Shana Moothedath 45 1 0 21 Jan 2024
Online Decision Mediation Daniel Jarrett Alihan Huyuk M. Schaar 35 2 0 28 Oct 2023
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts Chaoqi Wang Ziyu Ye Zhe Feng Ashwinkumar Badanidiyuru Haifeng Xu 31 1 0 25 Sep 2023
Worst-case Performance of Greedy Policies in Bandits with Imperfect Context Observations Hongju Park Mohamad Kazem Shirani Faradonbeh OffRL 29 2 0 10 Apr 2022
Remote Contextual Bandits Francesco Pase Deniz Gunduz M. Zorzi 21 5 0 10 Feb 2022
Efficient Algorithms for Learning to Control Bandits with Unobserved Contexts Hongju Park Mohamad Kazem Shirani Faradonbeh 21 6 0 02 Feb 2022