Nicholas C. Landolfi

According to our database1, Nicholas C. Landolfi authored at least 9 papers between 2018 and 2022.

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Bibliography

2022
Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences.
Int. J. Robotics Res., 2022

Unsupervised language models for disease variant prediction.
CoRR, 2022

Probabilistic Modeling Using Tree Linear Cascades.
Proceedings of the American Control Conference, 2022

2021
Cloud Telemetry Modeling via Residual Gauss-Markov Random Fields.
Proceedings of the 24th Conference on Innovation in Clouds, 2021

2019
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning.
CoRR, 2019

Learning Reward Functions by Integrating Human Demonstrations and Preferences.
Proceedings of the Robotics: Science and Systems XV, 2019

Asking Easy Questions: A User-Friendly Approach to Active Reward Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state.
Auton. Robots, 2018

Social Cohesion in Autonomous Driving.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018


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