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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
Isometry on Interval-valued Fuzzy Graphs
Hossein Rashmanlou, Madhumangal Pal
arXiv (Cornell University)
|
2014
|
23 회 인용
Model Selection in Contextual Stochastic Bandit Problems
Aldo Pacchiano, My V. T. Phan 외 5명
arXiv (Cornell University)
|
2020
|
23 회 인용
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes
Dongruo Zhou, Quanquan Gu 외 1명
arXiv (Cornell University)
|
2020
|
23 회 인용
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation
Andreas Adelmann, W. H. Hopkins 외 9명
arXiv (Cornell University)
|
2022
|
23 회 인용
On Kernelized Multi-armed Bandits
Sayak Ray Chowdhury, Aditya Gopalan
arXiv (Cornell University)
|
2017
|
23 회 인용
On the Use of ArXiv as a Dataset
Colin B. Clement, Matthew Bierbaum 외 2명
arXiv (Cornell University)
|
2019
|
23 회 인용
Optimal sequential multiple hypothesis tests
Andrey Novikov
ArXiv.org
|
2008
|
23 회 인용
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
Peng Liao, Kristjan Greenewald 외 2명
arXiv (Cornell University)
|
2019
|
23 회 인용
Rapidity gaps and the PHOJET Monte Carlo
Fritz Bopp, R. Engel 외 1명
ArXiv.org
|
1998
|
23 회 인용
Regret Analysis of the Anytime Optimally Confident UCB Algorithm
Tor Lattimore
arXiv (Cornell University)
|
2016
|
23 회 인용
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