You Can Trade Your Experience in Distributed Multi-Agent Multi-Armed Bandits-Reference-Cited by-同舟云学术

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You Can Trade Your Experience in Distributed Multi-Agent Multi-Armed Bandits

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS)
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Author:

Gao Guoju¹,Huang He¹,Wu Jie²,Huang Sijie¹,Du Yang¹

Affiliation:

1. School of Computer Science and Technology, Soochow University,P. R. China

2. Temple University,Department of Computer and Information Sciences

Funder

National Natural Science Foundation of China (NSFC)

NSF of Jiangsu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10188660/10188690/10188755.pdf?arnumber=10188755

Reference40 articles.

1. A new framework: Short-term and long-term returns in stochastic multi-armed bandit;sawwan;IEEE INFOCOM,0

2. Decentralized cooperative stochastic bandits;martínez-rubio;NeurIPS,0

3. Adaptive user-managed service placement for mobile edge computing via contextual multi-armed bandit learning;ouyang;IEEE Transactions on Mobile Computing,0

4. Individual regret in cooperative nonstochastic multi-armed bandits;bar-on;NeurIPS,0

5. Cooperative multi-player bandit optimization;bistritz;NeurIPS,0

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