Results 71 to 80 of about 3,478,919 (201)
Flickering Multi-Armed Bandits
CoRRWe introduce Flickering Multi-Armed Bandits (FMAB) to model sequential decision-making in environments with changing action availability, where accessibility of the next action is restricted to a subset dependent on the agent's current choice. We formalize these constraints through stochastically evolving graphs where actions are limited to local ...
Sourav Chakraborty 0009 +3 more
openaire +3 more sources
A conversation with James V. Zidek
Canadian Journal of Statistics, Volume 54, Issue 3, September 2026.Abstract This article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges.
Christian Genest, Nancy E. Heckman
wiley +1 more source
Diversity-Based Recruitment in Crowdsensing by Combinatorial Multi-Armed Bandits
Tsinghua Science and TechnologyMobile Crowdsensing (MCS) represents a transformative approach to collecting data from the environment as it utilizes the ubiquity and sensory capabilities of mobile devices with human participants.
Abdalaziz Sawwan, Jie Wu
doaj +1 more source
Pragmatic Two‐Stage Design for Clinical Trials With Treatment Selection
Statistics in Medicine, Volume 45, Issue 18-19, August 2026.ABSTRACT Clinical trials are inherently complex and become more challenging when selecting one treatment from many while also evaluating the efficacy. In this paper, we develop a pragmatic design that balances sample efficiency and practicality through a two‐stage sequential approach.
Paul Horton, Yajun Mei
wiley +1 more source
Multi-armed Bandit Learning on a Graph
2023 57th Annual Conference on Information Sciences and Systems (CISS), 2023 The multi-armed bandit(MAB) problem is a simple yet powerful framework that has been extensively studied in the context of decision-making under uncertainty. In many real-world applications, such as robotic applications, selecting an arm corresponds to a physical action that constrains the choices of the next available arms (actions). Motivated by this,
Tianpeng Zhang +2 more
openaire +3 more sources
Preamble Selection Probability Optimization in RACH: A Multi-Armed Bandits Approach
IEEE Open Journal of the Communications SocietyThe use of cellular networks for massive machine-type communications (mMTC), is an attractive solution due to the availability of existing infrastructure. However, the sheer number of user equipments (UEs) creates congestion and overloading challenges on
Ahmed O. Elmeligy +2 more
doaj +1 more source
“Caught in a Trap”: Everyday Peace and the Dilemma of Representation in Rio de Janeiro
City &Society, Volume 38, Issue 2, August 2026.ABSTRACT Urban security interventions often seek legitimacy by changing how places associated with violence are publicly represented. Less attention has been paid to how grassroots organizations navigate these representational pressures as they pursue everyday peace.
Henry Staples, Sarah Vogelsanger
wiley +1 more source
Mean‐Variance Payoff Applied to Stackelberg Games
Mathematical Methods in the Applied Sciences, Volume 49, Issue 10, Page 11516-11533, 15 July 2026.ABSTRACT We analyse a Stackelberg duopoly in which the leader faces uncertainty about the intercept demand, while the follower observes the realised demand and decides whether to enter the market after the uncertainty is resolved. The leader evaluates the uncertainty by maximising a mean‐variance utility function that captures its risk aversion.
João M. Silva +3 more
wiley +1 more source
On Interpolating Experts and Multi-Armed Bandits
CoRR, 2023 Learning with expert advice and multi-armed bandit are two classic online decision problems which differ on how the information is observed in each round of the game. We study a family of problems interpolating the two. For a vector $\mathbf{m}=(m_1,\dots,m_K)\in \mathbb{N}^K$, an instance of $\mathbf{m}$-MAB indicates that the arms are partitioned ...
Houshuang Chen +2 more
openaire +4 more sources
International Journal of Imaging Systems and Technology, Volume 36, Issue 4, July 2026.ABSTRACT Gliomas are aggressive brain tumors that require accurate imaging‐based diagnosis, where automated segmentation plays a central role in assessing tumor morphology and guiding treatment decisions. Manual delineation of gliomas is time‐consuming and prone to variability, motivating the use of deep learning to improve consistency and alleviate ...
Cecilia Diana‐Albelda +4 more
wiley +1 more source