Cascading Bandits with Two-Level Feedback
Author:
Affiliation:
1. Virginia Tech,Department of CS,Blacksburg,VA,24060
2. The Pennsylvania State University,School of EECS,PA,16802
3. University of Virginia,Department of ECE,Charlottesville,VA,22904
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9834325/9834269/09834892.pdf?arnumber=9834892
Reference10 articles.
1. A Non-Stochastic Learning Approach to Energy Efficient Mobility Management
2. Bandit policies for reliable cellular network handovers in extreme mobility;li,2020
3. Asymptotically efficient allocation rules for the multiarmed bandit problem with multiple plays-Part I: I.I.D. rewards
4. Cascading bandits: Learning to rank in the cascade model;kveton;Proceedings of the 32nd International Conference on Machine Learning (ICML-15),2015
5. A Non-Stationary Online Learning Approach to Mobility Management
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1. Cascading Bandits with Two-Level Feedback;2022 IEEE International Symposium on Information Theory (ISIT);2022-06-26
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