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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
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems
Dong-Hyun Lee, Mansi Tiwari
arXiv (Cornell University)
|
2024
|
4 회 인용
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling
Yongchao Chen, Jacob Arkin 외 4명
arXiv (Cornell University)
|
2024
|
4 회 인용
Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services
Zhenchang Xing, Qing Huang 외 4명
arXiv (Cornell University)
|
2023
|
4 회 인용
Propagation of epistemic uncertainty in queueing models with unreliable server using chaos expansions
Katia Bachi, Cédric Chauvière 외 2명
arXiv (Cornell University)
|
2017
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4 회 인용
Provably Efficient Exploration for RL with Unsupervised Learning
Fei Feng, Ruosong Wang 외 3명
arXiv (Cornell University)
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2020
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4 회 인용
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RL
Weitong Zhang, Jiafan He 외 3명
arXiv (Cornell University)
|
2021
|
4 회 인용
ProvDB: A System for Lifecycle Management of Collaborative Analysis Workflows
Hui Miao, Amit Chavan 외 1명
arXiv (Cornell University)
|
2016
|
4 회 인용
Pure and Stationary Optimal Strategies in Perfect-Information Stochastic Games with Global Preferences
Hugo Gimbert, Wiesław Zielonka
arXiv (Cornell University)
|
2016
|
4 회 인용
pyerrors: a python framework for error analysis of Monte Carlo data
Fabian Joswig, Simon Kuberski 외 2명
arXiv (Cornell University)
|
2022
|
4 회 인용
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction
Siddhant Dutta, Nouhaila Innan 외 3명
arXiv (Cornell University)
|
2024
|
4 회 인용
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