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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
A Model Selection Approach for Corruption Robust Reinforcement Learning
Chen-Yu Wei, Christoph Dann 외 1명
arXiv (Cornell University)
|
2021
|
4 회 인용
A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management.
Zhenhan Huang, Fumihide Tanaka
arXiv (Cornell University)
|
2021
|
4 회 인용
A Multi-Level Simulation Optimization Approach for Quantile Functions
Songhao Wang, Szu Hui Ng 외 1명
arXiv (Cornell University)
|
2019
|
4 회 인용
A multilevel adaptive sparse grid stochastic collocation approach to the non-smooth forward propagation of uncertainty in discretized problems
Robert L. Gates, Maximilian Bittens
arXiv (Cornell University)
|
2015
|
4 회 인용
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits
Huozhi Zhou, Lingda Wang 외 2명
arXiv (Cornell University)
|
2019
|
4 회 인용
A Neural Architecture for Person Ontology population
Balaji Ganesan, Riddhiman Dasgupta 외 3명
arXiv (Cornell University)
|
2020
|
4 회 인용
A neural network approach for uncertainty quantification for time-dependent problems with random parameters
Tong Qin, Zhen Chen 외 2명
arXiv (Cornell University)
|
2019
|
4 회 인용
A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming
Jia‐Jie Zhu, Krikamol Muandet 외 2명
arXiv (Cornell University)
|
2019
|
4 회 인용
A New Interaction Index inspired by the Taylor Series
Ashish Agarwal, Kedar Dhamdhere 외 1명
arXiv (Cornell University)
|
2019
|
4 회 인용
A note on conditional risk measures of Orlicz spaces and Orlicz-type modules
J. Orihuela, José Miguel Zapata
arXiv (Cornell University)
|
2016
|
4 회 인용
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