Results 61 to 70 of about 5,586 (174)

The Complexity of Multidimensional Learning in Agriculture

Econometrica, Volume 94, Issue 2, Page 465-503, March 2026.
Studies on agricultural technology adoption often focus on one input, practice, or package, which is analytically useful, but may overlook the complexities involved with multidimensional learning needed for a lot of agricultural decisions. In Kenya, we study farmers' dynamic learning (from oneself and others) and adoption decisions over six seasons ...
Rachid Laajaj, Karen Macours
wiley   +1 more source

Channel Selection Based on Trust and Multiarmed Bandit in Multiuser, Multichannel Cognitive Radio Networks

The Scientific World Journal, 2014
This paper proposes a channel selection scheme for the multiuser, multichannel cognitive radio networks. This scheme formulates the channel selection as the multiarmed bandit problem, where cognitive radio users are compared to the players and channels ...
Fanzi Zeng, Xinwang Shen
doaj   +1 more source

Dynamic Pricing Algorithm for Edge Computing Task Offloading Based on Contextual Multi-Armed Bandit [PDF]

Jisuanji gongcheng
Existing dynamic pricing algorithms for edge computing are based on game-theoretic models and auction mechanisms. With the optimization objective of maximizing a service provider′s total revenue, existing pricing algorithms face difficulties in obtaining
GAN Nan, FU Xiaodong, FENG Yan
doaj   +1 more source

Adaptive Satellite Selection via Deep Reinforcement Learning for Dynamic Emergency Scenarios

IET Communications, Volume 20, Issue 1, January/December 2026.
This work proposes a reinforcement learning–based satellite handover framework designed for emergency communication scenarios. The method adaptively responds to bandwidth and CNR fluctuations, achieving improved link stability under both deterministic and stochastic disturbances.
Ke Chen, Li Zhang, Qihang Jiao, Samuel Krain   +3 more
wiley   +1 more source

Marginal productivity index policies for dynamic priority allocation in restless bandit models [PDF]

, 2009
Esta tesis estudia tres complejos problemas dinámicos y estocásticos de asignación de recursos: (i) Enrutamiento y control de admisión con información retrasada, (ii) Promoción dinámica de productos y el Problema de la mochila para artículos perecederos,
Jacko, Peter
core  

Carbon‐Aware Scheduling in Cloud Computing Operations: A Multi‐Objective Optimisation Approach

IET Smart Grid, Volume 9, Issue 1, January/December 2026.
Dynamic carbon‐aware scheduler using forecasts, optimisation and rolling‐horizon control, minimises cost and emissions by shifting workloads by time and region to match renewables and combines LSTM + boosting forecasts with MILP solved via a constraint‐based multi‐objective method.
Kassem Danach, Kassem Hamze, Hassan Harb, Hassan Kanj   +3 more
wiley   +1 more source

Knapsack based optimal policies for budget-limited multi-armed bandits

, 2012
In budget-limited multi-armed bandit (MAB) problems, the learner’s actions are costly and constrained by a fixed budget. Consequently, an optimal exploitation policy may not be to pull the optimal arm repeatedly, as is the case in other variants of MAB ...
Tran-Thanh, Long, Jennings, Nicholas R., Jennings, Nicholas R, Chapman, Archie, Rogers, Alex   +4 more
core  

Multi-armed bandit with persistent reward

, 2021
LAUREA MAGISTRALEI problemi di scelta sequenziale in condizioni di incertezza sono spesso legati ad un importante dilemma strategico noto in letteratura con il nome di exploration/exploitation dilemma. Ciò consiste nel trovare il giusto compromesso tra
Agostini, Andrea
core  

Why Should we Worry about Nigeria's Fragile Security?

The Political Quarterly, Volume 97, Issue 1, Page 108-117, January/March 2026.
Abstract This paper explores the multifaceted implications of Nigeria's persistent security crisis, highlighting its domestic, regional and global consequences. It examines the humanitarian toll, economic disruption, poverty, food insecurity and the erosion of social cohesion within Nigeria. Regionally, it analyses how Nigeria's instability exacerbates
Onyedikachi Madueke
wiley   +1 more source

Toward Cost-Efficiency and Reduced Carbon Footprint: A Multi-Armed Bandit Hyper-Heuristic for Cloud Scheduling Problems

IEEE Access
The urgent demand to reduce carbon emissions due to global warming has driven innovative approaches in cloud computing. This paper introduces the Hyper-Heuristic for Cloud Scheduling Problems (HHCSP), a hyper-heuristic designed to optimize tasks in cloud
Vinicius Renan De Carvalho, Jaime Simao Sichman   +1 more
doaj   +1 more source