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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
Active Reinforcement Learning: Observing Rewards at a Cost
David Krueger, Jan Leike 외 2명
arXiv (Cornell University)
|
2020
|
12 회 인용
Adaptive Sampling for Stochastic Risk-Averse Learning
Sebastian Curi, Kfir Y. Levy 외 2명
arXiv (Cornell University)
|
2019
|
12 회 인용
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization
Peng Zhao, Yujie Zhang 외 2명
arXiv (Cornell University)
|
2021
|
12 회 인용
Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning
Nicolò Cesa‐Bianchi, Pierre Gaillard 외 2명
arXiv (Cornell University)
|
2017
|
12 회 인용
An Algorithmic Framework for Strategic Fair Division
Simina Brânzei, Ioannis Caragiannis 외 2명
arXiv (Cornell University)
|
2013
|
12 회 인용
An approximately truthful-in-expectation mechanism for combinatorial auctions using value queries
Shaddin Dughmi, Tim Roughgarden 외 2명
arXiv (Cornell University)
|
2011
|
12 회 인용
An introduction to SDE simulation
Simon J. A. Malham, Anke Wiese
arXiv (Cornell University)
|
2010
|
12 회 인용
An Optimal Dynamic Mechanism for Multi-Armed Bandit Processes
Sham M. Kakade, Ilan Lobel 외 1명
arXiv (Cornell University)
|
2010
|
12 회 인용
An Optimal Private Stochastic-MAB Algorithm Based on an Optimal Private Stopping Rule
Touqir Sajed, Or Sheffet
arXiv (Cornell University)
|
2019
|
12 회 인용
Application of Deep Learning in Generating Desired Design Options: Experiments Using Synthetic Training Dataset
Zohreh Shaghaghian, Wei Yan
arXiv (Cornell University)
|
2019
|
12 회 인용
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