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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
Policy Certificates: Towards Accountable Reinforcement Learning
Christoph Dann, Lihong Li 외 2명
arXiv (Cornell University)
|
2018
|
19 회 인용
Posterior Sampling for Large Scale Reinforcement Learning
Georgios Theocharous, Zheng Wen 외 2명
arXiv (Cornell University)
|
2017
|
19 회 인용
Prophet secretary through blind strategies
José Correa, Raimundo Saona 외 1명
arXiv (Cornell University)
|
2019
|
19 회 인용
Putting Peer Prediction Under the Micro(economic)scope and Making Truth-telling Focal
Yuqing Kong, Grant Schoenebeck 외 1명
arXiv (Cornell University)
|
2016
|
19 회 인용
Reinforcement Learning for Market Making in a Multi-agent Dealer Market
Sumitra Ganesh, Nelson Vadori 외 4명
arXiv (Cornell University)
|
2019
|
19 회 인용
Right-topological semigroup operations on inclusion hyperspaces
Volodymyr Gavrylkiv
arXiv (Cornell University)
|
2008
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19 회 인용
Robust optimization with incremental recourse
Ebrahim Nasrabadi, James B. Orlin
arXiv (Cornell University)
|
2013
|
19 회 인용
Second International Nurse Rostering Competition (INRC-II) --- Problem Description and Rules ---
Sara Ceschia, Nguyen Dang Thi Thanh 외 3명
arXiv (Cornell University)
|
2015
|
19 회 인용
Shark: SQL and Rich Analytics at Scale
Reynold Xin, Josh Rosen 외 4명
arXiv (Cornell University)
|
2012
|
19 회 인용
Stochastic Linear Optimization with Adversarial Corruption
Yingkai Li, Edmund Y. Lou 외 1명
arXiv (Cornell University)
|
2019
|
19 회 인용
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