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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
5,751개의 결과
Delay and Cooperation in Nonstochastic Bandits
Nicolò Cesa‐Bianchi, Claudio Gentile 외 2명
arXiv (Cornell University)
|
2016
|
60 회 인용
EarthNets: Empowering AI in Earth Observation
Zhitong Xiong, Fahong Zhang 외 3명
arXiv (Cornell University)
|
2022
|
60 회 인용
Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos
Gerasimos Palaiopanos, Ioannis Panageas 외 1명
arXiv (Cornell University)
|
2017
|
60 회 인용
On the Power of Randomization in Algorithmic Mechanism Design
Shahar Dobzinski, Shaddin Dughmi
ArXiv.org
|
2009
|
60 회 인용
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
David Rohde, Stephen Bonner 외 3명
arXiv (Cornell University)
|
2018
|
60 회 인용
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann, Tor Lattimore 외 1명
arXiv (Cornell University)
|
2017
|
60 회 인용
Bandits with Delayed, Aggregated Anonymous Feedback
Ciara Pike-Burke, Shipra Agrawal 외 2명
arXiv (Cornell University)
|
2017
|
59 회 인용
Forecasting Economics and Financial Time Series: ARIMA vs. LSTM
Sima Siami‐Namini, Akbar Siami Namin
arXiv (Cornell University)
|
2018
|
59 회 인용
lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits
Kevin Jamieson, Matthew Malloy 외 2명
arXiv (Cornell University)
|
2013
|
59 회 인용
Neural Contextual Bandits with UCB-based Exploration
Dongruo Zhou, Lihong Li 외 1명
arXiv (Cornell University)
|
2019
|
59 회 인용
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