D++: Structural credit assignment in tightly coupled multiagent domains. - Aida Rahmattalabi; Jen Jen Chung; Mitchell K. Colby; Kagan Tumer (IROS, 2016)

Explanation Systems for Influence Maximization Algorithms. - Amulya Yadav; Aida Rahmattalabi; Ece Kamar; Phebe Vayanos; Milind Tambe; Venil Loyd Noronha (SocInf@IJCAI, 2017)

Influence Maximization for Social Network Based Substance Abuse Prevention. - Aida Rahmattalabi; Anamika Barman-Adhikari; Phebe Vayanos; Milind Tambe; Eric Rice; Robin Baker (AAAI, 2018)

A Robust Optimization Approach to Designing Near-Optimal Strategies for Constant-Sum Monitoring Games. - Aida Rahmattalabi; Phebe Vayanos; Milind Tambe (GameSec, 2018)

Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks. - Aida Rahmattalabi; Phebe Vayanos; Anthony Fulginiti; Milind Tambe (AAMAS, 2019)

Exploring Algorithmic Fairness in Robust Graph Covering Problems. - Aida Rahmattalabi; Phebe Vayanos; Anthony Fulginiti; Eric Rice; Bryan Wilder; Amulya Yadav; Milind Tambe (NeurIPS, 2019)

Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study). - Aida Rahmattalabi; Anamika Barman-Adhikari; Phebe Vayanos; Milind Tambe; Eric Rice; Robin Baker (CoRR, 2019)

Fair Influence Maximization: A Welfare Optimization Approach. - Aida Rahmattalabi; Shahin Jabbari; Himabindu Lakkaraju; Phebe Vayanos; Eric Rice; Milind Tambe (CoRR, 2020)

Fair Influence Maximization: a Welfare Optimization Approach. - Aida Rahmattalabi; Shahin Jabbari; Himabindu Lakkaraju; Phebe Vayanos; Max Izenberg; Ryan Brown; Eric Rice; Milind Tambe (AAAI, 2021)

Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery. - Aida Rahmattalabi; Phebe Vayanos; Kathryn Dullerud; Eric Rice (FAccT, 2022)

Promises and Challenges of Causality for Ethical Machine Learning. - Aida Rahmattalabi; Alice Xiang (CoRR, 2022)