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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
5,583개의 결과
Provably Efficient Reinforcement Learning with Linear Function Approximation
Chi Jin, Zhuoran Yang 외 2명
arXiv (Cornell University)
|
2019
|
219 회 인용
Complexity Results about Nash Equilibria
Vincent Conitzer, Tüomas Sandholm
ArXiv.org
|
2002
|
217 회 인용
Delphes, a framework for fast simulation of a generic collider experiment
S. Ovyn, X. Rouby 외 1명
arXiv (Cornell University)
|
2009
|
214 회 인용
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason M. Altschuler, Jonathan Weed 외 1명
arXiv (Cornell University)
|
2017
|
211 회 인용
Contextual Bandit Algorithms with Supervised Learning Guarantees
Alina Beygelzimer, John Langford 외 3명
arXiv (Cornell University)
|
2010
|
203 회 인용
Slow Learners are Fast
John Langford, Alexander J. Smola 외 1명
ArXiv.org
|
2009
|
202 회 인용
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity
Pablo Hernández-Leal, Michael Kaisers 외 2명
arXiv (Cornell University)
|
2017
|
198 회 인용
Fairness in Learning: Classic and Contextual Bandits
Matthew Joseph, Michael Kearns 외 2명
arXiv (Cornell University)
|
2016
|
192 회 인용
An Introduction to Collective Intelligence
David H. Wolpert, Kagan Tumer
ArXiv.org
|
1999
|
186 회 인용
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
Rajat Sen, Hsiang‐Fu Yu 외 1명
arXiv (Cornell University)
|
2019
|
181 회 인용
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