Streaming Adaptive Submodular Maximization
Abstract
Many sequential decision making problems can be formulated as an adaptive submodular maximization problem. However, most of existing studies in this field focus on pool-based setting, where one can pick items in any order, and there have been few studies for the stream-based setting where items arrive in an arbitrary order and one must immediately decide whether to select an item or not upon its arrival. In this paper, we introduce a new class of utility functions, semi-policywise submodular functions. We develop a series of effective algorithms to maximize a semi-policywise submodular function under the stream-based setting.
Cite
@article{arxiv.2208.08021,
title = {Streaming Adaptive Submodular Maximization},
author = {Shaojie Tang and Jing Yuan},
journal= {arXiv preprint arXiv:2208.08021},
year = {2022}
}
Comments
This paper has been accepted at The 16th International Conference on Algorithmic Aspects in Information and Management (AAIM 2022)