Scholar
Justin Lidard
Google Scholar ID: tdNDbF8AAAAJ
Graduate Research Assistant, Princeton University
Citations & Impact
Citations
180
H-index
5
i10-index
4
Publications
11
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Papers accepted to ICLR 2025 and RSS 2024; involved in research on Diffusion Policy Optimization (DPPO), blending data-driven priors in dynamic games (KLGame, RCIP); has a paper under review on safety filters applied to AI-assisted motorsports.
Research Experience
- Worked at Toyota Research Institute on projects related to human-interactive driving.
Education
- PhD candidate at Princeton, advised by Anirudha Majumdar and Naomi Leonard, specializing in robotics.
Background
- PhD candidate at Princeton University, with research interests in robotics, value alignment (from an optimal control perspective), and human-interactive driving. Focuses on designing algorithms for robots to intelligently interact with and learn from people, aiming to enable robots to recognize their own uncertainty and continuously adjust their strategies through feedback.
Miscellany
- Website built using Jekyll, with the al-folio theme, hosted on GitHub Pages.
