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Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
5,612개의 결과
The best of both worlds: stochastic and adversarial bandits
Sébastien Bubeck, Aleksandrs Slivkins
arXiv (Cornell University)
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2012
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132 회 인용
Generalized Hoeffding-Sobol Decomposition for Dependent Variables -Application to Sensitivity Analysis
Fabrice Gamboa, Gamboa, Fabrice 외 1명
arXiv (Cornell University)
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2011
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129 회 인용
Adaptively Learning the Crowd Kernel
Omer Tamuz, Ce Liu 외 3명
arXiv (Cornell University)
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2011
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127 회 인용
Task-based End-to-end Model Learning in Stochastic Optimization
Priya L. Donti, Brandon Amos 외 1명
arXiv (Cornell University)
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2017
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126 회 인용
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Adith Swaminathan, Thorsten Joachims
arXiv (Cornell University)
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2015
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124 회 인용
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kaiqing Zhang, Zhuoran Yang 외 1명
arXiv (Cornell University)
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2019
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124 회 인용
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms
Wei Chen, Yajun Wang 외 2명
arXiv (Cornell University)
|
2014
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123 회 인용
Pricing, Hedging and Optimally Designing Derivatives Via Minimization of Risk Measures
Pauline Barrieu, Nicole El Karoui
London School of Economics and Political Science Research Online (London School of Economics and Political Science)
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2007
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123 회 인용
The levels of conceptual interoperability model: applying systems engineering principles to M&S
Wenguang Wang, Andreas Tolk 외 1명
arXiv (Cornell University)
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2009
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122 회 인용
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences
Odalric-Ambrym Maillard, Rémi Munos 외 1명
arXiv (Cornell University)
|
2011
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121 회 인용
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