Optimal arms identification with knapsacks

S Li, L Zhang, Y Yu, X Li - International Conference on …, 2023 - proceedings.mlr.press
Abstract Best Arm Identification (BAI) is a general online pure exploration framework to
identify optimal decisions among candidates via sequential interactions. We pioneer the …

A bandit approach to online pricing for heterogeneous edge resource allocation

J Cheng, DTA Nguyen, L Wang… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
Edge Computing (EC) offers a superior user experience by positioning cloud resources in
close proximity to end users. The challenge of allocating edge resources efficiently while …

Online Query-Based Data Pricing with Time-Discounting Valuations

Y Fu, X Miao, H Peng, C Na, S Deng… - 2024 IEEE 40th …, 2024 - ieeexplore.ieee.org
Online data marketplaces emerge in diverse data-driven applications, where dynamically
arriving consumers pur-chase the data at posted prices. The data value decays over time in …

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

G Gao, H Huang, J Wu, S Huang… - 2023 IEEE/ACM 31st …, 2023 - ieeexplore.ieee.org
Multi-Armed Bandit (MAB) that solves the sequential decision-making to the prior-unknown
settings has been extensively studied and adopted in various applications such as online …

AI-BASED METHODS OF DYNAMIC PRICING IN E-COMMERCE: A SYSTEMATIZATION OF LITERATURE

C Tomitza, U Ibrahimli, LV Herm - 2024 - aisel.aisnet.org
The use of artificial intelligence (AI) revolutionises both everyday life and business
processes. In ecommerce, AI enables companies to exploit new potentials based on …