Bandmaxsat: A local search MaxSAT solver with multi-armed bandit

J Zheng, K He, J Zhou, Y Jin, CM Li… - arXiv preprint arXiv …, 2022 - arxiv.org
We address Partial MaxSAT (PMS) and Weighted PMS (WPMS), two practical
generalizations of the MaxSAT problem, and propose a local search algorithm for these …

Integrating multi-armed bandit with local search for MaxSAT

J Zheng, K He, J Zhou, Y Jin, CM Li, F Manyà - Artificial Intelligence, 2025 - Elsevier
Abstract Partial MaxSAT (PMS) and Weighted PMS (WPMS) are two practical
generalizations of the MaxSAT problem. In this paper, we introduce a new local search …

Interactive anomaly detection in dynamic communication networks

X Meng, Y Wang, S Wang, D Yao… - IEEE/ACM Transactions …, 2021 - ieeexplore.ieee.org
Network flows are the basic components of the Internet. Considering the serious
consequences of abnormal flows, it is crucial to provide timely anomaly detection in dynamic …

[PDF][PDF] A practical semi-parametric contextual bandit.

Y Peng, M Xie, J Liu, X Meng, N Li, C Yang, T Yao… - IJCAI, 2019 - ijcai.org
Classic multi-armed bandit algorithms are inefficient for a large number of arms. On the other
hand, contextual bandit algorithms are more efficient, but they suffer from a large regret due …

Zero-Inflated Bandits

H Wei, R Wan, L Shi, R Song - arXiv preprint arXiv:2312.15595, 2023 - arxiv.org
Many real applications of bandits have sparse non-zero rewards, leading to slow learning
rates. A careful distribution modeling that utilizes problem-specific structures is known as …

Incorporating Multi-armed Bandit with Local Search for MaxSAT

J Zheng, K He, J Zhou, Y Jin, CM Li… - arXiv preprint arXiv …, 2022 - arxiv.org
Partial MaxSAT (PMS) and Weighted PMS (WPMS) are two practical generalizations of the
MaxSAT problem. In this paper, we propose a local search algorithm for these problems …