Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications

5 March 2017

Papers citing "Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications"

9 / 9 papers shown

Title
Bandits with Anytime Knapsacks Eray Can Elumar Cem Tekin Osman Yagan 107 0 0 30 Jan 2025
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond Xutong Liu Siwei Wang Jinhang Zuo Han Zhong Xuchuang Wang Zhiyong Wang Shuai Li Mohammad Hajiesmaili J. C. Lui Wei Chen 85 1 0 03 Jun 2024
Online Influence Maximization under Decreasing Cascade Model Fang-yuan Kong Jize Xie Baoxiang Wang Tao Yao Shuai Li 13 5 0 19 May 2023
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization Kaixuan Huang Yuehua Wu Xuezhou Zhang Shenyinying Tu Qingyun Wu Mengdi Wang Huazheng Wang 28 1 0 29 Jun 2022
Online Learning of Independent Cascade Models with Node-level Feedback Shuoguang Yang Van-Anh Truong 21 2 0 06 Sep 2021
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting Zixin Zhong Wang Chi Cheung Vincent Y. F. Tan 26 8 0 23 Jan 2020
Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits Lingda Wang Huozhi Zhou Bingcong Li L. Varshney Zhizhen Zhao 12 6 0 12 Sep 2019
Thompson Sampling for Combinatorial Semi-Bandits Siwei Wang Wei Chen 13 125 0 13 Mar 2018
Matroid Bandits: Fast Combinatorial Optimization with Learning B. Kveton Zheng Wen Azin Ashkan Hoda Eydgahi Brian Eriksson 46 119 0 20 Mar 2014