Justin Lidard
Welcome! I’m a PhD candidate at Princeton, where I work with Anirudha Majumdar and Naomi Leonard on robotics. During my PhD I’ve spent time at Toyota Research Institute working on human-interactive driving.
I design algorithms that enable robots to intelligently interact with and learn from people. One of my key interests is value alignment from an optimal control perspective: AI systems may offer strong performance but lack nuance in their understanding of intuitive and safe behaviors. To bridge this gap, I am working to enable robots to closely mimic people through imitation while optimizing their long-term behavior for safety and robustness. My long-term goal is to enable robots to continuously adjust their strategies through feedback during training, evaluation, and deployment.
jlidard
at princeton
dot edu
News
Sep 05, 2024 | New preprint on fine-tuning Diffusion Policies with PPO! |
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Mar 05, 2024 | Two papers (KLGame, RCIP) accepted to RSS 2024. See you in Delft! |
Feb 05, 2023 | Preprint on my internship work at TRI is now available. |
Apr 01, 2022 | Awarded NSF Graduate Research Fellowship. |
Feb 01, 2022 | First paper on efficient decentralized MARL with communication accepted to 2022 American Control Conference! Oral at 2022 AAAI Workshop on RL in Games. |