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Decision Sciences 论文解读
Decision Sciences 领域重要论文的 AI 解读列表,按研究动机、方法与结果结构化呈现。
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5,756 results
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems
Dong-Hyun Lee, Mansi Tiwari
arXiv (Cornell University)
|
2024
|
4 citations
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling
Yongchao Chen, Jacob Arkin, +4
arXiv (Cornell University)
|
2024
|
4 citations
Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services
Zhenchang Xing, Qing Huang, +4
arXiv (Cornell University)
|
2023
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4 citations
Propagation of epistemic uncertainty in queueing models with unreliable server using chaos expansions
Katia Bachi, Cédric Chauvière, +2
arXiv (Cornell University)
|
2017
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4 citations
Provably Efficient Exploration for RL with Unsupervised Learning
Fei Feng, Ruosong Wang, +3
arXiv (Cornell University)
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2020
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4 citations
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RL
Weitong Zhang, Jiafan He, +3
arXiv (Cornell University)
|
2021
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4 citations
ProvDB: A System for Lifecycle Management of Collaborative Analysis Workflows
Hui Miao, Amit Chavan, +1
arXiv (Cornell University)
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2016
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4 citations
Pure and Stationary Optimal Strategies in Perfect-Information Stochastic Games with Global Preferences
Hugo Gimbert, Wiesław Zielonka
arXiv (Cornell University)
|
2016
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4 citations
pyerrors: a python framework for error analysis of Monte Carlo data
Fabian Joswig, Simon Kuberski, +2
arXiv (Cornell University)
|
2022
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4 citations
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction
Siddhant Dutta, Nouhaila Innan, +3
arXiv (Cornell University)
|
2024
|
4 citations
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