Best Arm Identification in Bandits with Limited Precision Sampling
Author:
Affiliation:
1. Indian Institute of Technology Madras
2. National University of Singapore
3. Indian Institute of Technology Bombay
Funder
National University of Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10206429/10206441/10206610.pdf?arnumber=10206610
Reference12 articles.
1. Optimal best-arm identification in linear bandits;jedra;Advances in neural information processing systems,2020
2. Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting
3. Asymptotically efficient adaptive allocation rules
4. Federated best arm identification with heterogeneous clients;chen,2022
5. On the complexity of best-arm identification in multi-armed bandit models;kaufmann;The Journal of Machine Learning Research,2016
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1. Best Arm Identification in Bandits with Limited Precision Sampling;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25
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