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Decision Sciences 论文解读
Decision Sciences 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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5,756 results
Near-optimal Reinforcement Learning in Factored MDPs
Ian Osband, Benjamin Van Roy
arXiv (Cornell University)
|
2014
|
54 citations
Optimism in Reinforcement Learning with Generalized Linear Function Approximation
Yining Wang, Ruosong Wang, +2
arXiv (Cornell University)
|
2019
|
54 citations
A Contextual Bandit Bake-off
Alberto Bietti, Alekh Agarwal, +1
arXiv (Cornell University)
|
2018
|
53 citations
Bayesian Multi-Scale Optimistic Optimization
Ziyu Wang, Babak Shakibi, +2
arXiv (Cornell University)
|
2014
|
53 citations
Computing best-response strategies in infinite games of incomplete information
Daniel M. Reeves, Michael P. Wellman
arXiv (Cornell University)
|
2004
|
53 citations
Deep Learning in Finance
J.B. Heaton, Nicholas G. Polson, +1
arXiv (Cornell University)
|
2016
|
53 citations
Global optimization of Lipschitz functions
Cédric Malherbe, Nicolas Vayatis
arXiv (Cornell University)
|
2017
|
53 citations
Hamiltonian Simulation in the Interaction Picture
Guang Hao Low, Nathan Wiebe
arXiv (Cornell University)
|
2018
|
53 citations
Natasha 2: Faster Non-Convex Optimization Than SGD
Zeyuan Allen-Zhu
arXiv (Cornell University)
|
2017
|
53 citations
Online Learning with Switching Costs and Other Adaptive Adversaries
Nicolò Cesa‐Bianchi, Ofer Dekel, +1
arXiv (Cornell University)
|
2013
|
53 citations
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