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Decision Sciences
Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
5,756개의 결과
Learning the Preferences of Ignorant, Inconsistent Agents
Owain Evans, Andreas Stuhlmueller 외 1명
arXiv (Cornell University)
|
2015
|
5 회 인용
Learning to Guide Random Search
Ozan Şener, Vladlen Koltun
arXiv (Cornell University)
|
2020
|
5 회 인용
Learning to Ignore: A Case Study of Organization-Wide Bulk Email Effectiveness
Ruoyan Kong, Haiyi Zhu 외 1명
arXiv (Cornell University)
|
2020
|
5 회 인용
Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium
Greg Hines, Kate Larson
arXiv (Cornell University)
|
2012
|
5 회 인용
Lessons from Contextual Bandit Learning in a Customer Support Bot
Nikos Karampatziakis, Sebastian Kochman 외 4명
arXiv (Cornell University)
|
2019
|
5 회 인용
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms
Yingying Li, Na Li
arXiv (Cornell University)
|
2020
|
5 회 인용
Linear Quadratic Reinforcement Learning: Sublinear Regret in the Episodic Continuous-Time Framework
Matteo Basei, Xin Guo 외 1명
arXiv (Cornell University)
|
2020
|
5 회 인용
Linearly Parameterized Bandits
Paat Rusmevichientong, John N. Tsitsiklis
arXiv (Cornell University)
|
2008
|
5 회 인용
Linking microblogging sentiments to stock price movement: An application of GPT-4
Rick Steinert, Saskia Altmann
arXiv (Cornell University)
|
2023
|
5 회 인용
Local Minimizers and Second-Order Conditions in Composite Piecewise Programming via Directional Derivatives
Tsung‐Hui Chang, Mingyi Hong 외 1명
arXiv (Cornell University)
|
2017
|
5 회 인용
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