Social Cohesion in Autonomous Driving. - Nicholas C. Landolfi; Anca D. Dragan (IROS, 2018)

Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state. - Dorsa Sadigh; Nick Landolfi; Shankar S. Sastry; Sanjit A. Seshia; Anca D. Dragan (Auton. Robots, 2018)

Asking Easy Questions: A User-Friendly Approach to Active Reward Learning. - Erdem Biyik; Malayandi Palan; Nicholas C. Landolfi; Dylan P. Losey; Dorsa Sadigh (CoRL, 2019)

Learning Reward Functions by Integrating Human Demonstrations and Preferences. - Malayandi Palan; Gleb Shevchuk; Nicholas Charles Landolfi; Dorsa Sadigh (Robotics: Science and Systems, 2019)

A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning. - Nicholas C. Landolfi; Garrett Thomas; Tengyu Ma 001 (CoRR, 2019)

Cloud Telemetry Modeling via Residual Gauss-Markov Random Fields. - Nicholas Charles Landolfi; Daniel C. O'Neill; Sanjay Lall (ICIN, 2021)

Probabilistic Modeling Using Tree Linear Cascades. - Nicholas C. Landolfi; Sanjay Lall (ACC, 2022)

Unsupervised language models for disease variant prediction. - Allan Zhou; Nicholas C. Landolfi; Daniel C. O'Neill (CoRR, 2022)

Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences. - Erdem Biyik; Dylan P. Losey; Malayandi Palan; Nicholas C. Landolfi; Gleb Shevchuk; Dorsa Sadigh (Int. J. Robotics Res., 2022)

Optimal Dorfman Group Testing for Symmetric Distributions. - Nicholas C. Landolfi; Sanjay Lall (SIAM J. Math. Data Sci., 2024)