Explicit Best Arm Identification in Linear Bandits Using No-Regret Learners

13 June 2020

Papers citing "Explicit Best Arm Identification in Linear Bandits Using No-Regret Learners"

10 / 10 papers shown

Title
Towards Optimal and Efficient Best Arm Identification in Linear Bandits Mohammadi Zaki Avinash Mohan Aditya Gopalan 44 12 0 05 Nov 2019
Non-Asymptotic Pure Exploration by Solving Games Rémy Degenne Wouter M. Koolen Pierre Ménard 33 101 0 25 Jun 2019
Sequential Experimental Design for Transductive Linear Bandits Tanner Fiez Lalit P. Jain Kevin Jamieson Lillian J. Ratliff 48 105 0 20 Jun 2019
Polynomial-time Algorithms for Multiple-arm Identification with Full-bandit Feedback Yuko Kuroki Liyuan Xu Atsushi Miyauchi Junya Honda Masashi Sugiyama 47 17 0 27 Feb 2019
Fully adaptive algorithm for pure exploration in linear bandits Liyuan Xu Junya Honda Masashi Sugiyama 41 84 0 16 Oct 2017
Optimal Best Arm Identification with Fixed Confidence Aurélien Garivier E. Kaufmann 84 341 0 15 Feb 2016
Best-Arm Identification in Linear Bandits Marta Soare A. Lazaric Rémi Munos 53 178 0 22 Sep 2014
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models E. Kaufmann Olivier Cappé Aurélien Garivier 140 1,021 0 16 Jul 2014
Follow the Leader If You Can, Hedge If You Must S. D. Rooij T. Erven Peter Grünwald Wouter M. Koolen 141 177 0 03 Jan 2013
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 139 1,616 0 21 Dec 2009