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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
Assessing the Ability of ChatGPT to Screen Articles for Systematic Reviews
Eugene Syriani, István Dávid 외 1명
arXiv (Cornell University)
|
2023
|
17 회 인용
Asynchronous Parallel Bayesian Optimisation via Thompson Sampling
Kirthevasan Kandasamy, Akshay Krishnamurthy 외 2명
arXiv (Cornell University)
|
2017
|
17 회 인용
Compactness in Semiring Semantics
Erich Grädel
arXiv (Cornell University)
|
2017
|
17 회 인용
Conditional Expectation as Quantile Derivative
Dirk Tasche
ArXiv.org
|
2001
|
17 회 인용
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting
Akshay Krishnamurthy, John Langford 외 2명
arXiv (Cornell University)
|
2019
|
17 회 인용
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend
Yawei Zhao, Chen Yu 외 4명
arXiv (Cornell University)
|
2019
|
17 회 인용
Deep reinforcement learning for time series: playing idealized trading games
Xiang Gao
arXiv (Cornell University)
|
2018
|
17 회 인용
Distributional Robustness and Regularization in Reinforcement Learning
Esther Derman, Shie Mannor
arXiv (Cornell University)
|
2020
|
17 회 인용
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads
Tian Li, Jie Zhong 외 3명
arXiv (Cornell University)
|
2017
|
17 회 인용
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems
Morteza Ibrahimi, Adel Javanmard 외 1명
arXiv (Cornell University)
|
2013
|
17 회 인용
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