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Tight Bounds for Bandit Combinatorial Optimization

Tight Bounds for Bandit Combinatorial Optimization

24 February 2017
Alon Cohen
Tamir Hazan
Tomer Koren
ArXiv (abs)PDFHTML

Papers citing "Tight Bounds for Bandit Combinatorial Optimization"

7 / 7 papers shown
Title
Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries
Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries
Arnab Maiti
Zhiyuan Fan
Kevin Jamieson
Lillian J. Ratliff
Gabriele Farina
521
1
0
01 Apr 2025
Adversarial Combinatorial Semi-bandits with Graph Feedback
Adversarial Combinatorial Semi-bandits with Graph Feedback
Yuxiao Wen
139
0
0
26 Feb 2025
Sum-max Submodular Bandits
Sum-max Submodular Bandits
Stephen Pasteris
Alberto Rumi
Fabio Vitale
Nicolò Cesa-Bianchi
56
2
0
10 Nov 2023
Preference-based Reinforcement Learning with Finite-Time Guarantees
Preference-based Reinforcement Learning with Finite-Time Guarantees
Yichong Xu
Ruosong Wang
Lin F. Yang
Aarti Singh
A. Dubrawski
109
60
0
16 Jun 2020
Unifying mirror descent and dual averaging
Unifying mirror descent and dual averaging
A. Juditsky
Joon Kwon
Eric Moulines
106
29
0
30 Oct 2019
Top-k Combinatorial Bandits with Full-Bandit Feedback
Top-k Combinatorial Bandits with Full-Bandit Feedback
Idan Rejwan
Yishay Mansour
78
51
0
28 May 2019
Learning to Route Efficiently with End-to-End Feedback: The Value of
  Networked Structure
Learning to Route Efficiently with End-to-End Feedback: The Value of Networked Structure
Ruihao Zhu
E. Modiano
30
4
0
24 Oct 2018
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