Curating Long-Term Vector Maps. - Samer B. Nashed; Joydeep Biswas (IROS, 2016)

Human-in-the-Loop SLAM. - Samer B. Nashed; Joydeep Biswas (AAAI, 2018)

Localization Under Topological Uncertainty for Lane Identification of Autonomous Vehicles. - Samer B. Nashed; David M. Ilstrup; Joydeep Biswas (ICRA, 2018)

An Integrated Approach to Moral Autonomous Systems. - Justin Svegliato; Samer B. Nashed; Shlomo Zilberstein (ECAI, 2020)

Ethically Compliant Planning in Moral Autonomous Systems. - Justin Svegliato; Samer B. Nashed; Shlomo Zilberstein (AISafety@IJCAI, 2020)

Laser2Vec: Similarity-based Retrieval for Robotic Perception Data. - Samer B. Nashed (IROS, 2020)

Ethically Compliant Sequential Decision Making. - Justin Svegliato; Samer B. Nashed; Shlomo Zilberstein (AAAI, 2021)

Ethically Compliant Planning within Moral Communities. - Samer B. Nashed; Justin Svegliato; Shlomo Zilberstein (AIES, 2021)

Solving Markov Decision Processes with Partial State Abstractions. - Samer B. Nashed; Justin Svegliato; Matteo Brucato; Connor Basich; Rod Grupen; Shlomo Zilberstein (ICRA, 2021)

Robust Rank Deficient SLAM. - Samer B. Nashed; Jong Jin Park; Roger Webster; Joseph W. Durham (IROS, 2021)

Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning. - Abhinav Bhatia; Justin Svegliato; Samer B. Nashed; Shlomo Zilberstein (ICAPS, 2022)

Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning. - Samer B. Nashed; Justin Svegliato; Abhinav Bhatia; Stuart Russell 001; Shlomo Zilberstein (IROS, 2022)

A Unifying Framework for Causal Explanation of Sequential Decision Making. - Samer B. Nashed; Saaduddin Mahmud; Claudia V. Goldman; Shlomo Zilberstein (CoRR, 2022)

A Survey of Opponent Modeling in Adversarial Domains. - Samer B. Nashed; Shlomo Zilberstein (J. Artif. Intell. Res., 2022)

Causal Explanations for Sequential Decision Making Under Uncertainty. - Samer B. Nashed; Saaduddin Mahmud; Claudia V. Goldman; Shlomo Zilberstein (AAMAS, 2023)

Estimating Causal Responsibility for Explaining Autonomous Behavior. - Saaduddin Mahmud; Samer B. Nashed; Claudia V. Goldman; Shlomo Zilberstein (EXTRAAMAS, 2023)

Formal Composition of Robotic Systems as Contract Programs. - Mason Nakamura; Justin Svegliato; Samer B. Nashed; Shlomo Zilberstein; Stuart Russell 001 (IROS, 2023)

Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities. - Samer B. Nashed; Justin Svegliato; Su Lin Blodgett (CoRR, 2023)

RL3: Boosting Meta Reinforcement Learning via RL inside RL2. - Abhinav Bhatia; Samer B. Nashed; Shlomo Zilberstein (CoRR, 2023)

Ethically Compliant Autonomous Systems under Partial Observability. - Qingyuan Lu; Justin Svegliato; Samer B. Nashed; Shlomo Zilberstein; Stuart Russell 001 (ICRA, 2024)

Choosing the Right Tool for the Job: Online Decision Making over SLAM Algorithms. - Samer B. Nashed; Roderic A. Grupen; Shlomo Zilberstein (ICRA, 2024)

Safety Representations for Safer Policy Learning. - Kaustubh Mani; Vincent Mai; Charlie Gauthier; Annie S. Chen; Samer B. Nashed; Liam Paull (ICLR, 2025)

Causal Explanations for Sequential Decision Making. - Samer B. Nashed; Saaduddin Mahmud; Claudia V. Goldman; Shlomo Zilberstein (J. Artif. Intell. Res., 2025)

Perpetua: Multi-Hypothesis Persistence Modeling for Semi-Static Environments. - Miguel A. Saavedra-Ruiz; Samer B. Nashed; Charlie Gauthier; Liam Paull (CoRR, 2025)