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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
Reinforcement Learning Applied to Trading Systems: A Survey
Leonardo Kanashiro Felizardo, Francisco Caio Lima Paiva 외 2명
arXiv (Cornell University)
|
2022
|
5 회 인용
Reinforcement Learning, Bit by Bit
Xiuyuan Lu, Benjamin Van Roy 외 4명
arXiv (Cornell University)
|
2021
|
5 회 인용
Reinforcement Learning for Quantitative Trading
Shuo Sun, Rundong Wang 외 1명
arXiv (Cornell University)
|
2021
|
5 회 인용
Report on article: P=NP Linear programming formulation of the Traveling Salesman Problem
Radosław Hofman
ArXiv.org
|
2006
|
5 회 인용
Representation Learning for Online and Offline RL in Low-rank MDPs
Masatoshi Uehara, Xuezhou Zhang 외 1명
arXiv (Cornell University)
|
2021
|
5 회 인용
Representations of max-stable processes based on single extreme events
Sebastian Engelke, Alexander Malinowski 외 2명
arXiv (Cornell University)
|
2012
|
5 회 인용
Reproducible Research is more than Publishing Research Artefacts: A Systematic Analysis of Jupyter Notebooks from Research Articles
Max Schröder, Frank Krüger 외 1명
arXiv (Cornell University)
|
2019
|
5 회 인용
Research Excellence Milestones of BRIC and N-11 Countries
Nadine Rons
arXiv (Cornell University)
|
2013
|
5 회 인용
Reselling Information
S. Nageeb Ali, Ayal Chen-Zion 외 1명
arXiv (Cornell University)
|
2020
|
5 회 인용
Residual Bootstrap Exploration for Bandit Algorithms
Chi‐Hua Wang, Yang Yu 외 2명
arXiv (Cornell University)
|
2020
|
5 회 인용
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