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Multi-Player Bandits: A Trekking Approach

Multi-Player Bandits: A Trekking Approach

17 September 2018
M. Hanawal
S. Darak
ArXivPDFHTML

Papers citing "Multi-Player Bandits: A Trekking Approach"

6 / 6 papers shown
Title
Multi-Player Bandits Revisited
Multi-Player Bandits Revisited
Lilian Besson
E. Kaufmann
28
17
0
07 Nov 2017
Concurrent bandits and cognitive radio networks
Concurrent bandits and cognitive radio networks
Orly Avner
Shie Mannor
46
92
0
22 Apr 2014
Further Optimal Regret Bounds for Thompson Sampling
Further Optimal Regret Bounds for Thompson Sampling
Shipra Agrawal
Navin Goyal
100
442
0
15 Sep 2012
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond
Aurélien Garivier
Olivier Cappé
166
612
0
12 Feb 2011
Distributed Algorithms for Learning and Cognitive Medium Access with
  Logarithmic Regret
Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret
Anima Anandkumar
Nithin Michael
A. Tang
A. Swami
101
348
0
08 Jun 2010
Distributed Learning in Multi-Armed Bandit with Multiple Players
Distributed Learning in Multi-Armed Bandit with Multiple Players
Keqin Liu
Qing Zhao
97
437
0
12 Oct 2009
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