Results 121 to 130 of about 497,803 (209)
EvoClusterBandit: Adaptive Partitioned Bandit Algorithm for Dynamic Environments with Latent Variable Modeling [PDF]
ITM Web of ConferencesExisting multi-armed bandit algorithms struggle in dynamic environments with latent shifts such as abrupt changes in user behavior or contextual features.
Ren Hedong
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Uncertainty of Joint Neural Contextual Bandit [PDF]
Contextual bandit learning is increasingly favored in modern large-scale recommendation systems. To better utlize the contextual information and available user or item features, the integration of neural networks have been introduced to enhance ...
Guo, Hongbo, Zhu, Zheqing
core
Nonstochastic Contextual Combinatorial Bandits.
, 2023 We study a contextual version of online combinatorial optimisation with full and semi-bandit feedback. In this sequential decision-making problem, an online learner has to select an action from a combinatorial decision space after seeing a vector-valued context in each round.
L. Zierahn +3 more
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contextual:Evaluating contextual multi-armed bandit problems in R [PDF]
, 2018 Over the past decade, contextual bandit algorithms have been gaining in popularity due to their effectiveness and flexibility in solving sequential decision problems---from online advertising and finance to clinical trial design and personalized medicine.
Emden, Robin van, Kaptein, Maurits
core
Calibrated Recommendations with Contextual Bandits
CoRRSpotify's Home page features a variety of content types, including music, podcasts, and audiobooks. However, historical data is heavily skewed toward music, making it challenging to deliver a balanced and personalized content mix. Moreover, users' preference towards different content types may vary depending on the time of day, the day of week, or even
Diego Feijer +9 more
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Exploration-Exploitation in a Contextual Multi-Armed Bandit Task
, 2015 We introduce the Contextual Multi-Armed Bandit task as a method to assess decision making in uncertain environments and test how participants behave in this task. Within an experimental paradigm named Mining in Space, participants see 4 different planets
Konstantinidis, E. +2 more
core
Unit-Commitment-Guided Online Learning for Day-Ahead Electricity Market Bidding
IEEE AccessThis paper proposes a unit-commitment-guided multi-armed bandit method for learning bidding strategies of a generation company participating in a day-ahead electricity market under generator constraints, award uncertainty, and imbalance settlement.
Shintaro Negishi, Yu Oikawa
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Fostering Responsibility in Email Marketing: A Contextual Restless Bandit Framework
International audienceEmail marketing is increasingly criticized due to ethical concerns, as bulk email campaigns often result in spam, reduced engagement, and negative user experiences.
Avrachenkov, Konstantin +1 more
core +1 more source
Human behavior in contextual multi-armed bandit problems - BARCCSYN2015 presentation
, 2015 Presentation slides from a talk given at Barcelona systems neuroscience meeting (BARCCSYN) in 2015 in Barcelona, Spain. This work is closely related to the following article: Stojic, H., Analytis, P. P., & Speekenbrink, M. (2015).
Hrvoje Stojic (635030) +2 more
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Multi-Dimensional Arms for Combinatorial Multi-Armed Bandit
IEEE AccessThe multi-armed bandit (MAB) problem with concave rewards has indeed become a significant area of research in recent years. In MAB problem, maximizing total rewards within a fixed number of pulls is a common objective.
Qi Li, Lijun Cai
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