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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
Near-optimal Reinforcement Learning in Factored MDPs
Ian Osband, Benjamin Van Roy
arXiv (Cornell University)
|
2014
|
54 회 인용
Optimism in Reinforcement Learning with Generalized Linear Function Approximation
Yining Wang, Ruosong Wang 외 2명
arXiv (Cornell University)
|
2019
|
54 회 인용
A Contextual Bandit Bake-off
Alberto Bietti, Alekh Agarwal 외 1명
arXiv (Cornell University)
|
2018
|
53 회 인용
Bayesian Multi-Scale Optimistic Optimization
Ziyu Wang, Babak Shakibi 외 2명
arXiv (Cornell University)
|
2014
|
53 회 인용
Computing best-response strategies in infinite games of incomplete information
Daniel M. Reeves, Michael P. Wellman
arXiv (Cornell University)
|
2004
|
53 회 인용
Deep Learning in Finance
J.B. Heaton, Nicholas G. Polson 외 1명
arXiv (Cornell University)
|
2016
|
53 회 인용
Global optimization of Lipschitz functions
Cédric Malherbe, Nicolas Vayatis
arXiv (Cornell University)
|
2017
|
53 회 인용
Hamiltonian Simulation in the Interaction Picture
Guang Hao Low, Nathan Wiebe
arXiv (Cornell University)
|
2018
|
53 회 인용
Natasha 2: Faster Non-Convex Optimization Than SGD
Zeyuan Allen-Zhu
arXiv (Cornell University)
|
2017
|
53 회 인용
Online Learning with Switching Costs and Other Adaptive Adversaries
Nicolò Cesa‐Bianchi, Ofer Dekel 외 1명
arXiv (Cornell University)
|
2013
|
53 회 인용
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