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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
Adversarial Deep Reinforcement Learning in Portfolio Management
Zhipeng Liang, Hao Chen 외 3명
arXiv (Cornell University)
|
2018
|
57 회 인용
An Information-Theoretic Analysis of Thompson Sampling
Daniel Russo, Benjamin Van Roy
arXiv (Cornell University)
|
2014
|
57 회 인용
Darts: User-Friendly Modern Machine Learning for Time Series
Julia Herzen, Francesco Lässig 외 17명
arXiv (Cornell University)
|
2021
|
57 회 인용
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
Daiki Matsunaga, Toyotaro Suzumura 외 1명
arXiv (Cornell University)
|
2019
|
57 회 인용
HoloClean: Holistic Data Repairs with Probabilistic Inference
Theodoros Rekatsinas, Xu Chu 외 2명
arXiv (Cornell University)
|
2017
|
57 회 인용
On the Universality of Online Mirror Descent
Nati Srebro, Karthik Sridharan 외 1명
arXiv (Cornell University)
|
2011
|
57 회 인용
Regret Analysis of the Finite-Horizon Gittins Index Strategy for Multi-Armed Bandits
Tor Lattimore
arXiv (Cornell University)
|
2015
|
57 회 인용
Regret minimizing equilibria and mechanisms for games with strict type uncertainty
Nathanaël Hyafil, Craig Boutilier
arXiv (Cornell University)
|
2004
|
57 회 인용
Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem
Masrour Zoghi, Shimon Whiteson 외 2명
arXiv (Cornell University)
|
2013
|
57 회 인용
Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits
Branislav Kveton, Zheng Wen 외 2명
arXiv (Cornell University)
|
2014
|
57 회 인용
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