Justin Lidard

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Naomi LeonardProfessor of Mechanical and Aerospace Engineering, Princeton UniversityVerified email at princeton.edu
Guy RosmanToyota Research Institute; Massachusetts General HospitalVerified email at csail.mit.edu
Udari Madhushani SehwagResearch Scientist, JPMorgan AI ResearchVerified email at stanford.edu
Derek A. PaleyDepartment of Aerospace Engineering and the Institute for Systems Research, University of MarylandVerified email at umd.edu
Debdipta GoswamiAssistant Professor, The Ohio State UniversityVerified email at osu.edu
Jaime Fernández FisacAssistant Professor of Electrical and Computer Engineering, Princeton UniversityVerified email at princeton.edu
Haimin HuPhD Candidate, Princeton UniversityVerified email at princeton.edu
Zixu ZhangPhD Student, Princeton UniversityVerified email at princeton.edu

Justin Lidard

Graduate Research Assistant, Princeton University

Verified email at princeton.edu - Homepage


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Diffusion Policy Policy Optimization AZ Ren, J Lidard, LL Ankile, A Simeonov, P Agrawal, A Majumdar, ... arXiv preprint arXiv:2409.00588, 2024	13	2024
Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication J Lidard, U Madhushani, NE Leonard 2022 American Control Conference (ACC), 3311-3316, 2022	7	2022
Feedback Control and Parameter Estimation for Lift Maximization of a Pitching Airfoil JM Lidard, D Goswami, D Snyder, G Sedky, AR Jones, DA Paley Journal of Guidance, Control, and Dynamics 44 (3), 587-594, 2021	5*	2021
Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction J Lidard, H Pham, A Bachman, B Boateng, A Majumdar arXiv preprint arXiv:2403.15959, 2024	3	2024
Blending Data-Driven Priors in Dynamic Games J Lidard, H Hu, A Hancock, Z Zhang, AG Contreras, V Modi, J DeCastro, ... arXiv preprint arXiv:2402.14174, 2024	3	2024
NashFormer: Leveraging Local Nash Equilibria for Semantically Diverse Trajectory Prediction J Lidard, O So, Y Zhang, J DeCastro, X Cui, X Huang, YL Kuo, J Leonard, ... arXiv preprint arXiv:2305.17600, 2023	1	2023
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions O Shorinwa, Z Mei, J Lidard, AZ Ren, A Majumdar arXiv preprint arXiv:2412.05563, 2024		2024

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