Results 21 to 30 of about 12,386 (222)

Autoregressive Bandits

open access: yesCoRR, 2022
Autoregressive processes naturally arise in a large variety of real-world scenarios, including stock markets, sales forecasting, weather prediction, advertising, and pricing. When facing a sequential decision-making problem in such a context, the temporal dependence between consecutive observations should be properly accounted for guaranteeing ...
Francesco Bacchiocchi   +6 more
openaire   +4 more sources

Global Bandits

open access: yesIEEE Transactions on Neural Networks and Learning Systems, 2018
arXiv admin note: substantial text overlap with arXiv:1410 ...
Onur Atan   +2 more
openaire   +4 more sources

Lettrés, rebelles et autres bandits face à l’ordre colonial. Réflexions sur l’esprit de résistance et le patriotisme vietnamien

open access: yesCahiers d’histoire, 2015
Face à la domination coloniale au Viet Nam, les confucéens ont eu un apport significatif à l’esprit de résistance et au patriotisme. En particulier, la politique de la « marge », notamment les groupes stigmatisés par la mémoire historique comme les ...
Trinh Van Thao
doaj   +1 more source

Recovering Bandits

open access: yesCoRR, 2019
accepted to neurips 2019 (spotlight)
Pike-Burke, Ciara, Grunewalder, Steffen
openaire   +4 more sources

Uplifting Bandits

open access: yesAdvances in Neural Information Processing Systems 35, 2022
We introduce a multi-armed bandit model where the reward is a sum of multiple random variables, and each action only alters the distributions of some of them. After each action, the agent observes the realizations of all the variables. This model is motivated by marketing campaigns and recommender systems, where the variables represent outcomes on ...
Yu-Guan Hsieh   +2 more
openaire   +3 more sources

Reducing Dueling Bandits to Cardinal Bandits

open access: yesCoRR, 2014
We present algorithms for reducing the Dueling Bandits problem to the conventional (stochastic) Multi-Armed Bandits problem. The Dueling Bandits problem is an online model of learning with ordinal feedback of the form "A is preferred to B" (as opposed to cardinal feedback like "A has value 2.5"), giving it wide applicability in learning from implicit ...
Nir Ailon   +2 more
openaire   +4 more sources

Profitable Bandits

open access: yesCoRR, 2018
Originally motivated by default risk management applications, this paper investigates a novel problem, referred to as the profitable bandit problem here. At each step, an agent chooses a subset of the K possible actions. For each action chosen, she then receives the sum of a random number of rewards. Her objective is to maximize her cumulated earnings.
Achab, Mastane   +2 more
openaire   +4 more sources

Plantados jusqu’à la liberté : le corps comme territoire de résistance et d’affirmation de l’intégrité face au système carcéral à Cuba

open access: yesNuevo mundo - Mundos Nuevos, 2005
Dès le commencement du processus révolutionnaire à Cuba, (1959) un mouvement d’opposition, issu des rangs même des guérillas castristes, (dans leur grande majorité d’origine paysanne) et auquel vont participer plusieurs milliers d’hommes, embrase la ...
Elizabeth Burgos
doaj   +1 more source

Fiduciary Bandits

open access: yesCoRR, 2019
Recommendation systems often face exploration-exploitation tradeoffs: the system can only learn about the desirability of new options by recommending them to some user. Such systems can thus be modeled as multi-armed bandit settings; however, users are self-interested and cannot be made to follow recommendations.
Gal Bahar   +3 more
openaire   +3 more sources

Crime, bandits, and community: how public panic shaped the social control of territory in the Ottoman Empire [PDF]

open access: yes, 2018
This study explores the role of crime, bandits, and public panic in in the nineteenth century Ottoman society by using archival documents and employing a comparative perspective.
Cayli, Baris
core   +1 more source

Home - About - Disclaimer - Privacy