Skip to main content
누빈트
에이전트
더 알아보기
요금제
회사 소개
KO
Home
논문 리뷰
Decision Sciences
Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
전체
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
필터
5,756개의 결과
Achieving Target Equilibria in Network Routing Games without Knowing the Latency Functions
Umang Bhaskar, Katrina Ligett 외 2명
arXiv (Cornell University)
|
2014
|
6 회 인용
Active Reinforcement Learning with Monte-Carlo Tree Search
Sebastian Schulze, Owain Evans
arXiv (Cornell University)
|
2018
|
6 회 인용
ActiveRemediation: The Search for Lead Pipes in Flint, Michigan
Jacob Abernethy, Alex Chojnacki 외 3명
arXiv (Cornell University)
|
2018
|
6 회 인용
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems
Chien-Ju Ho, Aleksandrs Slivkins 외 1명
arXiv (Cornell University)
|
2014
|
6 회 인용
Adaptive Exploration in Linear Contextual Bandit
Botao Hao, Tor Lattimore 외 1명
arXiv (Cornell University)
|
2019
|
6 회 인용
Adaptive Sparse Polynomial Chaos Expansions via Leja Interpolation
Dimitrios Loukrezis, Herbert De Gersem
arXiv (Cornell University)
|
2019
|
6 회 인용
Adversarial Combinatorial Bandits with General Non-linear Reward Functions
Xi Chen, Yanjun Han 외 1명
arXiv (Cornell University)
|
2021
|
6 회 인용
AFlow: Automating Agentic Workflow Generation
Jiayi Zhang, Jianhai Xiang 외 12명
arXiv (Cornell University)
|
2024
|
6 회 인용
Agents for self-driving laboratories applied to quantum computing
Shuxiang Cao, Zijian Zhang 외 6명
arXiv (Cornell University)
|
2024
|
6 회 인용
AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score
Simon Lang, Mihai Alexe 외 16명
arXiv (Cornell University)
|
2024
|
6 회 인용
279
280
281
282
283