Results 41 to 50 of about 12,386 (222)
We introduce a new stochastic multi-armed bandit setting where arms are grouped inside ``ordered'' categories. The motivating example comes from e-commerce, where a customer typically has a greater appetence for items of a specific well-identified but unknown category than any other one.
Matthieu Jedor +2 more
openaire +5 more sources
Budget-limited multi-armed bandits [PDF]
Decision making under uncertainty is one of the most important challenges within the research field of artificial intelligence, as they present many everyday situations that agents have to face.
Tran-Thanh, Long
core +1 more source
Banditry constitutes about 40% of national insecurity in Nigeria. It is a composite crime manifesting in wanton killing, cattle rustling, kidnapping for ransom, levying of illegal tax on farming communities, sexual violence and trafficking of arms and ...
Oluwole Ojewale
doaj +1 more source
The Multi-Armed Bandits (MAB) framework highlights the tension between acquiring new knowledge (Exploration) and leveraging available knowledge (Exploitation). In the classical MAB problem, a decision maker must choose an arm at each time step, upon which she receives a reward.
Nir Levine, Koby Crammer, Shie Mannor
openaire +3 more sources
La représentation des « bandits d’honneur » dans l’imaginaire social kabyle.
Dans cet article nous abordons, le phénomène des « bandits d’honneur » qui a marqué l’histoire de la résistance algérienne fin du 19ème et les débuts du 20 ème siècle.
GUENFISSI Hayette
doaj
“Imitating Bandits”: The Mimesis of Criminal Groups in Soviet Lithuania (1945–1957)
During the 1940s–1950s, the Supreme Court of the Lithuanian SSR solved 44 criminal cases of “banditry” (Article 59 part 3 of RSFSR Criminal Code of 1926) with some noticeable facts of mimesis: these bandits, during their raids, were trying to create an ...
Darius Indrišionis
doaj +1 more source
Abstract The global teacher shortage continues to intensify, with disparate impacts across geographic and socio‐economic communities. In Queensland, Australia, where this study originates, post‐COVID teacher shortages have intensified workforce pressures, leaving several regional, rural and remote schools as some of the ‘hardest‐to‐staff’ in the ...
Matthew Readette +5 more
wiley +1 more source
We consider a novel stochastic multi-armed bandit setting, where playing an arm makes it unavailable for a fixed number of time slots thereafter. This models situations where reusing an arm too often is undesirable (e.g. making the same product recommendation repeatedly) or infeasible (e.g. compute job scheduling on machines).
Soumya Basu 0001 +3 more
openaire +3 more sources
Peasants, bandits, and state intervention: The consolidation of authority in the Ottoman Balkans and Southern Italy [PDF]
This paper explores the role of bandits and state intervention in the Ottoman Balkans and Southern Italy in the 19th century by using archival documents.
Baris Cayli, Cayli, Baris
core +1 more source
Achieving User-Side Fairness in Contextual Bandits
Personalized recommendation based on multi-arm bandit (MAB) algorithms has shown to lead to high utility and efficiency as it can dynamically adapt the recommendation strategy based on feedback.
Wen Huang +4 more
doaj +1 more source

