ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.14622
  4. Cited By
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and
  Generalization

Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization

27 October 2021
Chengshuai Shi
Wei Xiong
Cong Shen
Jing Yang
ArXivPDFHTML

Papers citing "Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization"

28 / 28 papers shown
Title
Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal
  Regret With Neither Communication Nor Collisions
Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions
Sébastien Bubeck
Thomas Budzinski
Mark Sellke
35
18
0
08 Nov 2020
On No-Sensing Adversarial Multi-player Multi-armed Bandits with
  Collision Communications
On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
Chengshuai Shi
Cong Shen
AAML
31
9
0
02 Nov 2020
Statistical Efficiency of Thompson Sampling for Combinatorial
  Semi-Bandits
Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits
Pierre Perrault
Etienne Boursier
Vianney Perchet
Michal Valko
35
37
0
11 Jun 2020
Decentralized Multi-player Multi-armed Bandits with No Collision
  Information
Decentralized Multi-player Multi-armed Bandits with No Collision Information
Chengshuai Shi
Wei Xiong
Cong Shen
Jing Yang
55
36
0
29 Feb 2020
My Fair Bandit: Distributed Learning of Max-Min Fairness with
  Multi-player Bandits
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits
Ilai Bistritz
Tavor Z. Baharav
Amir Leshem
Nicholas Bambos
FaML
51
37
0
23 Feb 2020
Coordination without communication: optimal regret in two players
  multi-armed bandits
Coordination without communication: optimal regret in two players multi-armed bandits
Sébastien Bubeck
Thomas Budzinski
53
23
0
14 Feb 2020
Tight Lower Bounds for Combinatorial Multi-Armed Bandits
Tight Lower Bounds for Combinatorial Multi-Armed Bandits
Nadav Merlis
Shie Mannor
31
17
0
13 Feb 2020
Selfish Robustness and Equilibria in Multi-Player Bandits
Selfish Robustness and Equilibria in Multi-Player Bandits
Etienne Boursier
Vianney Perchet
31
23
0
04 Feb 2020
Multi-User MABs with User Dependent Rewards for Uncoordinated Spectrum
  Access
Multi-User MABs with User Dependent Rewards for Uncoordinated Spectrum Access
A. Magesh
Venugopal V. Veeravalli
27
22
0
21 Oct 2019
Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With
  Collision Information, Sublinear Without
Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without
Sébastien Bubeck
Yuanzhi Li
Yuval Peres
Mark Sellke
91
46
0
28 Apr 2019
Multi-Player Bandits: The Adversarial Case
Multi-Player Bandits: The Adversarial Case
Pragnya Alatur
Kfir Y. Levy
Andreas Krause
AAML
46
37
0
21 Feb 2019
A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among
  Players
A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players
Etienne Boursier
E. Kaufmann
Abbas Mehrabian
Vianney Perchet
37
62
0
04 Feb 2019
Multiplayer Multi-armed Bandits for Optimal Assignment in Heterogeneous
  Networks
Multiplayer Multi-armed Bandits for Optimal Assignment in Heterogeneous Networks
Harshvardhan Tibrewal
Sravan Patchala
M. Hanawal
S. Darak
39
9
0
12 Jan 2019
SIC-MMAB: Synchronisation Involves Communication in Multiplayer
  Multi-Armed Bandits
SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits
Etienne Boursier
Vianney Perchet
93
99
0
21 Sep 2018
Multiplayer bandits without observing collision information
Multiplayer bandits without observing collision information
Gabor Lugosi
Abbas Mehrabian
30
34
0
25 Aug 2018
Thompson Sampling for Combinatorial Semi-Bandits
Thompson Sampling for Combinatorial Semi-Bandits
Siwei Wang
Wei Chen
40
127
0
13 Mar 2018
Improving Regret Bounds for Combinatorial Semi-Bandits with
  Probabilistically Triggered Arms and Its Applications
Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications
Qinshi Wang
Wei Chen
47
89
0
05 Mar 2017
Combinatorial semi-bandit with known covariance
Combinatorial semi-bandit with known covariance
Rémy Degenne
Vianney Perchet
26
47
0
06 Dec 2016
Combinatorial Multi-Armed Bandit with General Reward Functions
Combinatorial Multi-Armed Bandit with General Reward Functions
Wei Chen
Wei Hu
Fu Li
Jiacheng Li
Yu Liu
Pinyan Lu
53
133
0
20 Oct 2016
Combinatorial Cascading Bandits
Combinatorial Cascading Bandits
Branislav Kveton
Zheng Wen
Azin Ashkan
Csaba Szepesvári
55
112
0
15 Jul 2015
On Regret-Optimal Learning in Decentralized Multi-player Multi-armed
  Bandits
On Regret-Optimal Learning in Decentralized Multi-player Multi-armed Bandits
Naumaan Nayyar
D. Kalathil
R. Jain
OffRL
63
76
0
04 May 2015
Cascading Bandits: Learning to Rank in the Cascade Model
Cascading Bandits: Learning to Rank in the Cascade Model
Branislav Kveton
Csaba Szepesvári
Zheng Wen
Azin Ashkan
149
284
0
10 Feb 2015
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically
  Triggered Arms
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms
Wei Chen
Yajun Wang
Yang Yuan
Qinshi Wang
78
283
0
31 Jul 2014
Concurrent bandits and cognitive radio networks
Concurrent bandits and cognitive radio networks
Orly Avner
Shie Mannor
44
92
0
22 Apr 2014
Matroid Bandits: Fast Combinatorial Optimization with Learning
Matroid Bandits: Fast Combinatorial Optimization with Learning
Branislav Kveton
Zheng Wen
Azin Ashkan
Hoda Eydgahi
Brian Eriksson
69
119
0
20 Mar 2014
Distributed Exploration in Multi-Armed Bandits
Distributed Exploration in Multi-Armed Bandits
Eshcar Hillel
Zohar Karnin
Tomer Koren
R. Lempel
O. Somekh
131
106
0
04 Nov 2013
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
99
347
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
435
0
12 Oct 2009
1