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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
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara, W. Sun
arXiv (Cornell University)
|
2021
|
6 회 인용
Pessimistic Model-based Offline RL: PAC Bounds and Posterior Sampling under Partial Coverage
Masatoshi Uehara, W. Sun
arXiv (Cornell University)
|
2021
|
6 회 인용
Ploutos: Towards interpretable stock movement prediction with financial large language model
Hanshuang Tong, Jun Li 외 4명
arXiv (Cornell University)
|
2024
|
6 회 인용
Policy Gradient Optimization of Thompson Sampling Policies
Seungki Min, Ciamac C. Moallemi 외 1명
arXiv (Cornell University)
|
2020
|
6 회 인용
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis
Weichao Mao, Kaiqing Zhang 외 2명
arXiv (Cornell University)
|
2020
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6 회 인용
Position Paper: Bridging the Gap Between Machine Learning and Sensitivity Analysis
Christian A. Scholbeck, Julia Moosbauer 외 4명
arXiv (Cornell University)
|
2023
|
6 회 인용
Positive feedback in coordination games: stochastic evolutionary dynamics and the logit choice rule
Sung‐Ha Hwang, Luc Rey-Bellet
arXiv (Cornell University)
|
2017
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6 회 인용
Possibilistic Pertinence Feedback and Semantic Networks for Goal's Extraction
Mohamed Nazih Omri
arXiv (Cornell University)
|
2012
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6 회 인용
Prediction with expert evaluators' advice
Alexey Chernov, Vladimir Vovk
ArXiv.org
|
2009
|
6 회 인용
Predictive properties and minimaxity of Bayesian predictive synthesis
Kōsaku Takanashi, Kenichiro McAlinn
arXiv (Cornell University)
|
2019
|
6 회 인용
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