受强制性开放获取政策约束的文章 - Aida Rahmattalabi了解详情
可在其他位置公开访问的文章：6 篇
Fair Influence Maximization: A Welfare Optimization Approach
A Rahmattalabi, S Jabbari, H Lakkaraju, P Vayanos, M Izenberg, R Brown, ...
35th AAAI Conference on Artificial Intelligence (AAAI-21), 11630-11638, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
Exploring algorithmic fairness in robust graph covering problems
A Rahmattalabi, P Vayanos, A Fulginiti, E Rice, B Wilder, A Yadav, ...
Advances in Neural Information Processing Systems 32, 15776--15787, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
D++: Structural credit assignment in tightly coupled multiagent domains
A Rahmattalabi, JJ Chung, M Colby, K Tumer
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
强制性开放获取政策： US Department of Energy, US National Aeronautics and Space Administration
Learning resource allocation policies from observational data with an application to homeless services delivery
A Rahmattalabi, P Vayanos, K Dullerud, E Rice
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
强制性开放获取政策： US National Science Foundation
A robust optimization approach to designing near-optimal strategies for constant-sum monitoring games
A Rahmattalabi, P Vayanos, M Tambe
Decision and Game Theory for Security: 9th International Conference, GameSec …, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
A Community-Partnered Approach to Social Network Data Collection for a Large and Partial Network
M Izenberg, R Brown, C Siebert, R Heinz, A Rahmattalabi, P Vayanos
Field Methods, 2022
强制性开放获取政策： US National Science Foundation
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