Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1011.4969
Cited By
Learning in A Changing World: Restless Multi-Armed Bandit with Unknown Dynamics
22 November 2010
Haoyang Liu
Keqin Liu
Qing Zhao
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Learning in A Changing World: Restless Multi-Armed Bandit with Unknown Dynamics"
50 / 52 papers shown
Title
Planning and Learning in Risk-Aware Restless Multi-Arm Bandit Problem
Nima Akbarzadeh
Erick Delage
Yossiri Adulyasak
35
0
0
30 Oct 2024
A Federated Online Restless Bandit Framework for Cooperative Resource Allocation
Jingwen Tong
Xinran Li
Liqun Fu
Jun Zhang
Khaled B. Letaief
50
1
0
12 Jun 2024
Human-in-the-loop Learning for Dynamic Congestion Games
Hongbo Li
Lingjie Duan
43
3
0
24 Apr 2024
Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region
Haijie Xu
Xiaochen Xian
Chen Zhang
Kaibo Liu
19
0
0
30 Mar 2024
SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks
Yaniv Cohen
Tomer Gafni
Ronen Greenberg
Kobi Cohen
32
5
0
17 Feb 2024
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
Shu-Fan Wang
Guojun Xiong
Jian Li
59
6
0
16 Dec 2023
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
Guojun Xiong
Jian Li
38
13
0
03 Oct 2023
Fair Multi-Agent Bandits
Amir Leshem
FedML
FaML
11
1
0
07 Jun 2023
Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach
Raz Paul
Kobi Cohen
Gil Kedar
34
5
0
27 Mar 2023
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach
Dan Ben Ami
Kobi Cohen
Qing Zhao
FedML
34
11
0
18 Mar 2023
A Definition of Non-Stationary Bandits
Yueyang Liu
Kuang Xu
Benjamin Van Roy
24
11
0
23 Feb 2023
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits
Paritosh Verma
Shresth Verma
Aditya Mate
Aparna Taneja
Milind Tambe
16
0
0
19 Jan 2023
Deterministic Sequencing of Exploration and Exploitation for Reinforcement Learning
Piyush B. Gupta
Vaibhav Srivastava
OffRL
29
3
0
12 Sep 2022
Fast Change Identification in Multi-Play Bandits and its Applications in Wireless Networks
Gourab Ghatak
45
1
0
20 May 2022
Restless Multi-Armed Bandits under Exogenous Global Markov Process
Tomer Gafni
M. Yemini
Kobi Cohen
32
3
0
28 Feb 2022
Whittle Index based Q-Learning for Wireless Edge Caching with Linear Function Approximation
Guojun Xiong
Shu-Fan Wang
Jian Li
Rahul Singh
30
6
0
26 Feb 2022
On learning Whittle index policy for restless bandits with scalable regret
N. Akbarzadeh
Aditya Mahajan
13
13
0
07 Feb 2022
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health
Kai Wang
Shresth Verma
Aditya Mate
Sanket Shah
Aparna Taneja
N. Madhiwalla
Aparna Hegde
Milind Tambe
21
12
0
02 Feb 2022
Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand
Kshitija Taywade
Brent Harrison
J. Goldsmith
33
3
0
03 Jan 2022
Learning in Restless Bandits under Exogenous Global Markov Process
Tomer Gafni
M. Yemini
Kobi Cohen
37
13
0
17 Dec 2021
Medium Access Control protocol for Collaborative Spectrum Learning in Wireless Networks
Tomer Boyarski
Wenbo Wang
Amir Leshem
18
3
0
25 Oct 2021
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks
Yoel Bokobza
R. Dabora
Kobi Cohen
49
13
0
24 Oct 2021
Reinforcement Learning for Finite-Horizon Restless Multi-Armed Multi-Action Bandits
Guojun Xiong
Jian Li
Rahul Singh
30
4
0
20 Sep 2021
Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions
Junyan Liu
Shuai Li
Dapeng Li
23
6
0
08 Jun 2021
Learning to Detect an Odd Restless Markov Arm with a Trembling Hand
P. Karthik
R. Sundaresan
13
5
0
08 May 2021
Generalized non-stationary bandits
Anne Gael Manegueu
Alexandra Carpentier
Yi Yu
41
10
0
01 Feb 2021
Adaptive KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings
Member Ieee Arghyadip Roy
Fellow Ieee Sanjay Shakkottai
F. I. R. Srikant
18
2
0
14 Sep 2020
Robust Multi-Agent Multi-Armed Bandits
Daniel Vial
Sanjay Shakkottai
R. Srikant
14
36
0
07 Jul 2020
Detecting an Odd Restless Markov Arm with a Trembling Hand
P. Karthik
R. Sundaresan
10
6
0
13 May 2020
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits
Ilai Bistritz
Tavor Z. Baharav
Amir Leshem
Nicholas Bambos
FaML
17
37
0
23 Feb 2020
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits
Ronshee Chawla
Abishek Sankararaman
A. Ganesh
Sanjay Shakkottai
11
50
0
15 Jan 2020
Thompson Sampling in Non-Episodic Restless Bandits
Young Hun Jung
Marc Abeille
Ambuj Tewari
9
19
0
12 Oct 2019
Social Learning in Multi Agent Multi Armed Bandits
Abishek Sankararaman
A. Ganesh
Sanjay Shakkottai
28
84
0
04 Oct 2019
A Learning-Based Two-Stage Spectrum Sharing Strategy with Multiple Primary Transmit Power Levels
Rui Zhang
Peng Cheng
Zhuo Chen
Yonghui Li
Branka Vucetic
8
8
0
21 Jul 2019
Learning in Restless Multi-Armed Bandits via Adaptive Arm Sequencing Rules
Tomer Gafni
Kobi Cohen
9
22
0
19 Jun 2019
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems
Young Hun Jung
Ambuj Tewari
19
44
0
29 May 2019
Multi-Player Bandits: The Adversarial Case
Pragnya Alatur
Kfir Y. Levy
Andreas Krause
AAML
16
37
0
21 Feb 2019
On Abruptly-Changing and Slowly-Varying Multiarmed Bandit Problems
Lai Wei
Vaibhav Srivastava
24
37
0
23 Feb 2018
Online Influence Maximization in Non-Stationary Social Networks
Yixin Bao
Xiaoke Wang
Zhi Wang
Chuan Wu
F. Lau
18
22
0
26 Apr 2016
Risk-Averse Multi-Armed Bandit Problems under Mean-Variance Measure
Sattar Vakili
Qing Zhao
13
88
0
18 Apr 2016
Time-Varying Gaussian Process Bandit Optimization
Ilija Bogunovic
Jonathan Scarlett
V. Cevher
69
95
0
25 Jan 2016
Multi-armed Bandits with Application to 5G Small Cells
S. Maghsudi
Ekram Hossain
20
120
0
02 Oct 2015
Episodic Multi-armed Bandits
Cem Tekin
M. Schaar
OffRL
28
0
0
04 Aug 2015
Regulating Greed Over Time in Multi-Armed Bandits
Stefano Tracà
Cynthia Rudin
Weiyu Yan
19
5
0
21 May 2015
On Regret-Optimal Learning in Decentralized Multi-player Multi-armed Bandits
Naumaan Nayyar
D. Kalathil
R. Jain
OffRL
20
76
0
04 May 2015
Distributed Online Learning in Social Recommender Systems
Cem Tekin
Simpson Zhang
M. Schaar
OffRL
38
65
0
26 Sep 2013
Distributed Online Learning via Cooperative Contextual Bandits
Cem Tekin
M. Schaar
FedML
31
53
0
21 Aug 2013
Towards Distribution-Free Multi-Armed Bandits with Combinatorial Strategies
Xiangyang Li
Shaojie Tang
Yaqin Zhou
46
0
0
20 Jul 2013
A Sensing Policy Based on Confidence Bounds and a Restless Multi-Armed Bandit Model
J. Oksanen
V. Koivunen
H. Vincent Poor
36
13
0
19 Nov 2012
Decentralized Learning for Multi-player Multi-armed Bandits
D. Kalathil
Naumaan Nayyar
R. Jain
46
44
0
14 Jun 2012
1
2
Next