Justin Lidard

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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

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News

Sep 05, 2024 New preprint on fine-tuning Diffusion Policies with PPO!
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.