Skip to main content
누빈트
에이전트
더 알아보기
요금제
회사 소개
KO
Home
논문 리뷰
Decision Sciences
Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
전체
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
필터
5,756개의 결과
Pair Matching: When bandits meet stochastic block model.
Christophe Giraud, Yann Issartel 외 2명
arXiv (Cornell University)
|
2019
|
1 회 인용
People are processors: coalitional auctions for complex projects
Piotr Skowron, Krzysztof Rzaḑca 외 1명
arXiv (Cornell University)
|
2014
|
1 회 인용
Pessimism Traps and Algorithmic Interventions
Avrim Blum, Emily Diana 외 2명
arXiv (Cornell University)
|
2024
|
1 회 인용
plom-pipe: Bayesian inference for compartmental models, with a Unix flavour
Joseph Dureau, Sébastien Ballesteros
arXiv (Cornell University)
|
2013
|
1 회 인용
Policy Gradients for Contextual Bandits.
Feiyang Pan, Qingpeng Cai 외 3명
arXiv (Cornell University)
|
2018
|
1 회 인용
Portable Acceleration of CMS Computing Workflows with Coprocessors as a Service
Hayrapetyan, Aram, Tumasyan, Armen 외 2322명
arXiv (Cornell University)
|
2024
|
1 회 인용
Prediction without loss in multi-armed bandit problems
Michael Kapralov, Rina Panigrahy
arXiv (Cornell University)
|
2010
|
1 회 인용
Principled Option Learning in Markov Decision Processes
Roy Fox, Michal Moshkovitz 외 1명
arXiv (Cornell University)
|
2016
|
1 회 인용
Probabilistic Time Series Forecasts with Autoregressive Transformation Models
David Rügamer, Philipp F. M. Baumann 외 2명
arXiv (Cornell University)
|
2021
|
1 회 인용
Proof about Weakly Universal State Contracting Networks.
Norbert Michael Mayer
arXiv (Cornell University)
|
2014
|
1 회 인용
553
554
555
556
557
