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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
489
0
0
01 Apr 2025
Importance weighting without importance weights: An efficient algorithm
  for combinatorial semi-bandits
Importance weighting without importance weights: An efficient algorithm for combinatorial semi-bandits
Gergely Neu
Gábor Bartók
73
37
0
17 Mar 2015
First-order regret bounds for combinatorial semi-bandits
First-order regret bounds for combinatorial semi-bandits
Gergely Neu
184
59
0
23 Feb 2015
On the Complexity of Bandit Linear Optimization
On the Complexity of Bandit Linear Optimization
Ohad Shamir
110
14
0
11 Aug 2014
Volumetric Spanners: an Efficient Exploration Basis for Learning
Volumetric Spanners: an Efficient Exploration Basis for Learning
Elad Hazan
Zohar Karnin
Raghu Mehka
255
97
0
21 Dec 2013
Towards minimax policies for online linear optimization with bandit
  feedback
Towards minimax policies for online linear optimization with bandit feedback
Sébastien Bubeck
Nicolò Cesa-Bianchi
Sham Kakade
OffRL
283
150
0
14 Feb 2012
The on-line shortest path problem under partial monitoring
The on-line shortest path problem under partial monitoring
Pál Benkö
T. Várady
L. Andor
Ralph Robert Martin
593
355
0
08 Apr 2007
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