Results 61 to 70 of about 492,986 (210)
LLMs-augmented Contextual Bandit
CoRR, 2023 Contextual bandits have emerged as a cornerstone in reinforcement learning, enabling systems to make decisions with partial feedback. However, as contexts grow in complexity, traditional bandit algorithms can face challenges in adequately capturing and utilizing such contexts. In this paper, we propose a novel integration of large language models (LLMs)
Ali Baheri, Cecilia O. Alm
openaire +2 more sources
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
doaj +1 more source
Gender &History, EarlyView.ABSTRACT The British army in India took great care to provide European troops with facilities for sexual relations while anxiously managing venereal disease. Examining archival evidence, political debates and medical discourse from the nineteenth century, this article examines the colonial military enterprise of regulated prostitution in colonial ...
Sameera Chauhan
wiley +1 more source
Langevin Monte Carlo for Contextual Bandits
, 2022 We study the efficiency of Thompson sampling for contextual bandits. Existing Thompson sampling-based algorithms need to construct a Laplace approximation (i.e., a Gaussian distribution) of the posterior distribution, which is inefficient to sample in ...
Anandkumar, Anima +4 more
core
Empirical Likelihood for Contextual Bandits
CoRR, 2019 Accepted at NeurIPS ...
Nikos Karampatziakis +2 more
openaire +4 more sources
Multi-Armed Bandits Convergence Acceleration Using Cluster Normalizations
IEEE AccessRecommender systems usually operate in non-stationary environments, so the standard techniques used to create recommendations begin to degrade after some use.
Victoria Strenadko +2 more
doaj +1 more source
Frontiers in Neuroscience, 2022 Ecological Momentary Assessments (EMA) deliver insights on how patients perceive tinnitus at different times and how they are affected by it. Moving to the next level, an mHealth app can support users more directly by predicting a user's next EMA and ...
Saijal Shahania +7 more
doaj +1 more source
Respected and Ignored: British Women and the Arab Revolt (1936–39) in Mandate Palestine
Gender &History, EarlyView.ABSTRACT This article aims to reinsert British women and their perspectives into our understanding of anticolonial resistance in Palestine. Historiography on the Arab Revolt (1936–39) has previously been built from colonial state archives that disproportionally speak with a male voice and, as such, rely on certain gendered assumptions to describe the ...
Alex Worsfold
wiley +1 more source
Model Selection for Generic Contextual Bandits [PDF]
, 2023 We consider the problem of model selection for the general stochastic contextual bandits under the realizability assumption. We propose a successive refinement based algorithm called Adaptive Contextual Bandit ({\ttfamily ACB}), that works in phases and ...
Ghosh, Avishek +2 more
core +1 more source
Gaussian Process with Vine Copula-Based Context Modeling for Contextual Multi-Armed Bandits
MathematicsWe propose a novel contextual multi-armed bandit (CMAB) framework that integrates copula-based context generation with Gaussian Process (GP) regression for reward modeling, addressing complex dependency structures and uncertainty in sequential decision ...
Jong-Min Kim
doaj +1 more source