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Competing Bandits: The Perils of Exploration Under Competition

Competing Bandits: The Perils of Exploration Under Competition

20 July 2020
Guy Aridor
Yishay Mansour
Aleksandrs Slivkins
Zhiwei Steven Wu
ArXivPDFHTML

Papers citing "Competing Bandits: The Perils of Exploration Under Competition"

5 / 5 papers shown
Title
Strategic Usage in a Multi-Learner Setting
Strategic Usage in a Multi-Learner Setting
Eliot Shekhtman
Sarah Dean
37
2
0
29 Jan 2024
Emergent specialization from participation dynamics and multi-learner
  retraining
Emergent specialization from participation dynamics and multi-learner retraining
Sarah Dean
Mihaela Curmei
Lillian J. Ratliff
Jamie Morgenstern
Maryam Fazel
29
5
0
06 Jun 2022
Decentralized, Communication- and Coordination-free Learning in
  Structured Matching Markets
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
C. Maheshwari
Eric Mazumdar
S. Shankar Sastry
21
11
0
06 Jun 2022
Learner-Private Convex Optimization
Learner-Private Convex Optimization
Jiaming Xu
Kuang Xu
Dana Yang
FedML
19
2
0
23 Feb 2021
Bandits with adversarial scaling
Bandits with adversarial scaling
Thodoris Lykouris
Vahab Mirrokni
R. Leme
14
14
0
04 Mar 2020
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