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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
Regret analysis of the Piyavskii-Shubert algorithm for global Lipschitz optimization
Clément Bouttier, Tommaso Cesari 외 2명
arXiv (Cornell University)
|
2020
|
4 회 인용
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems
Seyed Mohammad Asghari, Yi Ouyang 외 1명
arXiv (Cornell University)
|
2020
|
4 회 인용
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation
Daniel Vial, Advait Parulekar 외 2명
arXiv (Cornell University)
|
2021
|
4 회 인용
Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring
Junpei Komiyama, Junya Honda 외 1명
arXiv (Cornell University)
|
2015
|
4 회 인용
Regret lower bounds and extended Upper Confidence Bounds policies in stochastic multi-armed bandit problem
Antoine Salomon, Jean-Yves Audibert 외 1명
arXiv (Cornell University)
|
2011
|
4 회 인용
Reinforced Deep Markov Models With Applications in Automatic Trading
Tadeu Augusto Ferreira
arXiv (Cornell University)
|
2020
|
4 회 인용
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
Nina Deliu, Joseph Jay Williams 외 1명
arXiv (Cornell University)
|
2022
|
4 회 인용
Relative Performance of Expected and Observed Fisher Information in Covariance Estimation for Maximum Likelihood Estimates
Xumeng Cao
arXiv (Cornell University)
|
2013
|
4 회 인용
Reoptimization Nearly Solves Weakly Coupled Markov Decision Processes
Nicolas Gast, Bruno Gaujal 외 1명
arXiv (Cornell University)
|
2022
|
4 회 인용
Replicability Across Multiple Studies
Marina Bogomolov, Ruth Heller
arXiv (Cornell University)
|
2022
|
4 회 인용
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