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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
Latent Agents in Networks: Estimation and Pricing
Barış Ata, Alexandre Belloni 외 1명
arXiv (Cornell University)
|
2018
|
6 회 인용
Learning Beam Search Policies via Imitation Learning
Renato Negrinho, Matthew R. Gormley 외 1명
arXiv (Cornell University)
|
2018
|
6 회 인용
Learning Choice Functions: Concepts and Architectures
Karlson Pfannschmidt, Pritha Gupta 외 1명
arXiv (Cornell University)
|
2019
|
6 회 인용
Learning Equilibria of Games via Payoff Queries
John Fearnley, Martin Gairing 외 2명
arXiv (Cornell University)
|
2013
|
6 회 인용
Learning from learning machines: a new generation of AI technology to meet the needs of science
Luca Pion-Tonachini, Kristofer E. Bouchard 외 34명
arXiv (Cornell University)
|
2021
|
6 회 인용
Learning in A Changing World: Restless Multi-Armed Bandit with Unknown Dynamics
Haoyang Liu, Keqin Liu 외 1명
arXiv (Cornell University)
|
2010
|
6 회 인용
Learning Nash Equilibria in Congestion Games
Walid Krichene, Benjamin Drighès 외 1명
arXiv (Cornell University)
|
2014
|
6 회 인용
Learning Supervised PageRank with Gradient-Free Optimization Methods
Lev Bogolubsky, Pavel Dvurechensky 외 6명
arXiv (Cornell University)
|
2014
|
6 회 인용
Learning to bid in revenue-maximizing auctions
Thomas Nédelec, Noureddine El Karoui 외 1명
arXiv (Cornell University)
|
2019
|
6 회 인용
Learnings from Frontier Development Lab and SpaceML - AI Accelerators for NASA and ESA.
Siddha Ganju, Anirudh Koul 외 4명
arXiv (Cornell University)
|
2020
|
6 회 인용
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