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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
Constrained Multiagent Rollout and Multidimensional Assignment with the Auction Algorithm
Dimitri P. Bertsekas
arXiv (Cornell University)
|
2020
|
6 회 인용
Contextual Dueling Bandits
Miroslav Dudı́k, Katja Hofmann 외 3명
arXiv (Cornell University)
|
2015
|
6 회 인용
Contextual Games: Multi-Agent Learning with Side Information
Pier Giuseppe Sessa, Ilija Bogunovic 외 2명
arXiv (Cornell University)
|
2021
|
6 회 인용
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model
Gi-Soo Kim, Myunghee Cho Paik
arXiv (Cornell University)
|
2019
|
6 회 인용
Convergence Guarantees for Deep Epsilon Greedy Policy Learning
Michael Rawson, Radu Bălan
arXiv (Cornell University)
|
2021
|
6 회 인용
Convergence to Equilibrium in Local Interaction Games and Ising Models
Andrea Montanari, Amin Saberi
ArXiv.org
|
2008
|
6 회 인용
Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions
Sébastien Bubeck, Thomas Budzinski 외 1명
arXiv (Cornell University)
|
2020
|
6 회 인용
Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm
Junpei Komiyama, Junya Honda 외 1명
arXiv (Cornell University)
|
2016
|
6 회 인용
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces
Yanan Sui, Yisong Yue 외 1명
arXiv (Cornell University)
|
2017
|
6 회 인용
Cost-aware Cascading Bandits
Ruida Zhou, Chao Gan 외 2명
arXiv (Cornell University)
|
2018
|
6 회 인용
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