Ethically compliant sequential decision making J Svegliato, SB Nashed, S Zilberstein Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11657 …, 2021 | 40 | 2021 |
A survey of opponent modeling in adversarial domains S Nashed, S Zilberstein Journal of Artificial Intelligence Research 73, 277-327, 2022 | 34 | 2022 |
Pinning susceptibility: The effect of dilute, quenched disorder on jamming AL Graves, S Nashed, E Padgett, CP Goodrich, AJ Liu, JP Sethna Physical Review Letters 116 (23), 235501, 2016 | 24 | 2016 |
Pitch measurements in chiral lyotropic chromonic liquid crystals T Ogolla, SB Nashed, PJ Collings Liquid Crystals 44 (12-13), 1968-1978, 2017 | 22 | 2017 |
Ethically compliant planning within moral communities S Nashed, J Svegliato, S Zilberstein Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 188-198, 2021 | 14 | 2021 |
Tuning the hyperparameters of anytime planning: A metareasoning approach with deep reinforcement learning A Bhatia, J Svegliato, SB Nashed, S Zilberstein Proceedings of the International Conference on Automated Planning and …, 2022 | 13 | 2022 |
Human-in-the-Loop SLAM S Nashed, J Biswas Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 13 | 2018 |
Solving Markov decision processes with partial state abstractions SB Nashed, J Svegliato, M Brucato, C Basich, R Grupen, S Zilberstein 2021 IEEE International Conference on Robotics and Automation (ICRA), 813-819, 2021 | 11 | 2021 |
Robust Rank Deficient SLAM SB Nashed, JJ Park, R Webster, JW Durham | 8 | 2021 |
An integrated approach to moral autonomous systems J Svegliato, S Nashed, S Zilberstein 24th European Conference on Artificial Intelligence, 2020 | 8 | 2020 |
Ethically compliant planning in moral autonomous systems J Svegliato, SB Nashed, S Zilberstein IJCAI Workshop in Artificial Intelligence Safety, 2020 | 6 | 2020 |
Curating long-term vector maps S Nashed, J Biswas 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 6 | 2016 |
Causal Explanations for Sequential Decision Making Under Uncertainty SB Nashed, S Mahmud, CV Goldman, S Zilberstein arXiv preprint arXiv:2205.15462v2, 2023 | 5 | 2023 |
Autonomous machine motion planning in a dynamic environment A Mitlin, S Nashed US Patent 11,498,587, 2022 | 5 | 2022 |
Selecting the partial state abstractions of MDPs: A metareasoning approach with deep reinforcement learning SB Nashed, J Svegliato, A Bhatia, S Russell, S Zilberstein 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 5 | 2022 |
Localization under topological uncertainty for lane identification of autonomous vehicles SB Nashed, DM Ilstrup, J Biswas 2018 IEEE International Conference on Robotics and Automation (ICRA), 6000-6005, 2018 | 5 | 2018 |
Fairness and sequential decision making: Limits, lessons, and opportunities SB Nashed, J Svegliato, SL Blodgett arXiv preprint arXiv:2301.05753, 2023 | 4 | 2023 |
A Brief Survey of Loop Closure Detection: A Case for Rethinking Evaluation of Intelligent Systems SB Nashed | 3 | 2020 |
RL: Boosting Meta Reinforcement Learning via RL inside RL A Bhatia, SB Nashed, S Zilberstein arXiv preprint arXiv:2306.15909, 2023 | 2 | 2023 |
A unifying framework for causal explanation of sequential decision making SB Nashed, S Mahmud, CV Goldman, S Zilberstein ArXiv, abs/2205.15462, 2022 | 2 | 2022 |