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Decision Sciences 论文解读
Decision Sciences 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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5,756 results
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems
Sahin Lale, Kamyar Azizzadenesheli, +2
arXiv (Cornell University)
|
2020
|
6 citations
Repeated Games With Intervention: Theory and Applications in Communications
Yuanzhang Xiao, Jaeok Park, +1
arXiv (Cornell University)
|
2011
|
6 citations
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, +4
arXiv (Cornell University)
|
2024
|
6 citations
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
Akshay Mete, Rahul Singh, +2
arXiv (Cornell University)
|
2020
|
6 citations
Risk assessment for uncertain cash flows: Model ambiguity, discounting ambiguity, and the role of bubbles
Beatrice Acciaio, Hans Foellmer, +1
arXiv (Cornell University)
|
2010
|
6 citations
Risks and Opportunities of Open-Source Generative AI
Francisco Eiras, Aleksander Petrov, +23
arXiv (Cornell University)
|
2024
|
6 citations
Robust Hypothesis Testing with Wasserstein Uncertainty Sets
Liyan Xie, Rui Gao, +1
arXiv (Cornell University)
|
2021
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6 citations
Robust Optimal Investment in Discrete Time for Unbounded Utility Function
Laurence Carassus, Romain Blanchard
arXiv (Cornell University)
|
2016
|
6 citations
Robust utility maximization under model uncertainty via a penalization approach
Ivan Guo, Nicolas Langrené, +2
arXiv (Cornell University)
|
2019
|
6 citations
Scalable HPC and AI Infrastructure for COVID-19 Therapeutics
Hyungro Lee, André Merzky, +16
arXiv (Cornell University)
|
2020
|
6 citations
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