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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
Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective
Dylan J. Foster, Alexander Rakhlin 외 2명
arXiv (Cornell University)
|
2020
|
21 회 인용
Jointly private convex programming
Justin Hsu, Zhiyi Huang 외 2명
arXiv (Cornell University)
|
2016
|
21 회 인용
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
Tor Lattimore, Csaba Szepesvári 외 1명
arXiv (Cornell University)
|
2019
|
21 회 인용
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
Jiafan He, Dongruo Zhou 외 1명
arXiv (Cornell University)
|
2020
|
21 회 인용
Minimax Optimal Algorithms for Unconstrained Linear Optimization
Brendan McMahan, Jacob Abernethy
arXiv (Cornell University)
|
2013
|
21 회 인용
Nonstochastic Bandits with Composite Anonymous Feedback
Nicolò Cesa‐Bianchi, Tommaso Cesari 외 3명
arXiv (Cornell University)
|
2021
|
21 회 인용
On Soft Mappings
Çiğdem Gündüz Aras, Ayşe Sönmez 외 1명
arXiv (Cornell University)
|
2013
|
21 회 인용
Online Influence Maximization under Linear Threshold Model
Shuai Li, Fang Kong 외 3명
arXiv (Cornell University)
|
2020
|
21 회 인용
Online Multi-task Learning with Hard Constraints
Gábor Lugosi, Omiros Papaspiliopoulos 외 1명
ArXiv.org
|
2009
|
21 회 인용
Online Open World Recognition
Rocco De Rosa, Thomas Mensink 외 1명
arXiv (Cornell University)
|
2016
|
21 회 인용
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