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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
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems
Sahin Lale, Kamyar Azizzadenesheli 외 2명
arXiv (Cornell University)
|
2020
|
6 회 인용
Repeated Games With Intervention: Theory and Applications in Communications
Yuanzhang Xiao, Jaeok Park 외 1명
arXiv (Cornell University)
|
2011
|
6 회 인용
Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers
Ahmed E. Hassan, Gustavo A. Oliva 외 4명
arXiv (Cornell University)
|
2024
|
6 회 인용
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
Akshay Mete, Rahul Singh 외 2명
arXiv (Cornell University)
|
2020
|
6 회 인용
Risk assessment for uncertain cash flows: Model ambiguity, discounting ambiguity, and the role of bubbles
Beatrice Acciaio, Hans Foellmer 외 1명
arXiv (Cornell University)
|
2010
|
6 회 인용
Risks and Opportunities of Open-Source Generative AI
Francisco Eiras, Aleksander Petrov 외 23명
arXiv (Cornell University)
|
2024
|
6 회 인용
Robust Hypothesis Testing with Wasserstein Uncertainty Sets
Liyan Xie, Rui Gao 외 1명
arXiv (Cornell University)
|
2021
|
6 회 인용
Robust Optimal Investment in Discrete Time for Unbounded Utility Function
Laurence Carassus, Romain Blanchard
arXiv (Cornell University)
|
2016
|
6 회 인용
Robust utility maximization under model uncertainty via a penalization approach
Ivan Guo, Nicolas Langrené 외 2명
arXiv (Cornell University)
|
2019
|
6 회 인용
Scalable HPC and AI Infrastructure for COVID-19 Therapeutics
Hyungro Lee, André Merzky 외 16명
arXiv (Cornell University)
|
2020
|
6 회 인용
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