Scholar
Kaustubh Sridhar
Google Scholar ID: V-HiOnUAAAAJ
Google Deepmind
Citations & Impact
Citations
423
H-index
10
i10-index
10
Publications
19
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Published 'REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context In New Environments' at ICLR 2025 and gave an oral presentation; Published 'RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models' at CoRL 2025; Received multiple award nominations and grants, including NSF Travel Grant, Student Travel Grant, etc.
Research Experience
- Currently a research scientist at Google Deepmind; Interned twice at AWS AI Labs and once at Ford and VW’s self-driving unit.
Education
- PhD in Electrical and Systems Engineering, University of Pennsylvania, advised by Insup Lee and closely collaborated with Dinesh Jayaraman; Graduated with honors from Indian Institute of Technology Bombay.
Background
- Interested in creating world models and general embodied agents for the digital and physical worlds. Worked on generative models, in-context learning, deep reinforcement and imitation learning (particularly from large offline datasets), and robust deep learning.
Miscellany
- Dan 1 (black belt) in Shotokan Karate, 2011.
