Simultaneously Learning Stochastic and Adversarial Bandits with General
Graph Feedback

Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback

16 June 2022

Shuai Li

Papers citing "Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback"

4 / 4 papers shown

Title
Graph Neural Thompson Sampling Shuang Wu Arash A. Amini 56 0 0 15 Jun 2024
$A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $Θ(T^{2/3})$ and its Application to Best-of-Both-Worlds$ A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $Θ(T^{2/3})$ and its Application to Best-of-Both-Worlds Taira Tsuchiya Shinji Ito 26 0 0 30 May 2024
A Blackbox Approach to Best of Both Worlds in Bandits and Beyond Christoph Dann Chen-Yu Wei Julian Zimmert 26 22 0 20 Feb 2023
Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs Shinji Ito Taira Tsuchiya Junya Honda 35 24 0 02 Jun 2022