Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state D Sadigh, N Landolfi, SS Sastry, SA Seshia, AD Dragan Autonomous Robots 42, 1405-1426, 2018 | 199 | 2018 |
Learning reward functions by integrating human demonstrations and preferences M Palan, NC Landolfi, G Shevchuk, D Sadigh arXiv preprint arXiv:1906.08928, 2019 | 133 | 2019 |
Asking easy questions: A user-friendly approach to active reward learning E Bıyık, M Palan, NC Landolfi, DP Losey, D Sadigh arXiv preprint arXiv:1910.04365, 2019 | 109 | 2019 |
Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences E Bıyık, DP Losey, M Palan, NC Landolfi, G Shevchuk, D Sadigh The International Journal of Robotics Research 41 (1), 45-67, 2022 | 81 | 2022 |
A model-based approach for sample-efficient multi-task reinforcement learning NC Landolfi, G Thomas, T Ma arXiv preprint arXiv:1907.04964, 2019 | 17 | 2019 |
Social cohesion in autonomous driving NC Landolfi, AD Dragan 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 10 | 2018 |
Cloud telemetry modeling via residual gauss-markov random fields NC Landolfi, DC O’Neill, S Lall 2021 24th Conference on Innovation in Clouds, Internet and Networks and …, 2021 | 2 | 2021 |
Optimal Dorfman Group Testing For Symmetric Distributions NC Landolfi, S Lall arXiv preprint arXiv:2308.11050, 2023 | | 2023 |
Unsupervised language models for disease variant prediction A Zhou, NC Landolfi, DC O'Neill arXiv preprint arXiv:2212.03979, 2022 | | 2022 |
Probabilistic modeling using tree linear cascades NC Landolfi, S Lall 2022 American Control Conference (ACC), 2617-2622, 2022 | | 2022 |