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Yajat Yadav Hi! I'm a 4th-year undergrad studying EECS at UC Berkeley. I am also a researcher at Berkeley Artificial Intelligence Research, advised by Sergey Levine. Previously, I've done research focusing at the intersection of deep learning and biology with Yun Song and Ahmed Alaa. Email / CV / Google Scholar / Github / LinkedIn / Twitter |
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ResearchI am interested in developing reinforcement learning algorithms that enable agents like robots to continually learn generalizable skills. |
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Agent-based Modeling for Patient-Centered Clinical Decision Support in
Neuro-Oncology
Eduardo Rodriguez Almaraz, Brenda Miao, Yajat Yadav , J de Groot, J Young, A Vo, A Butte, B S Mitchel, D Raleigh, N Butowski, Ahmed Alaa Neuro-Oncology, Oct 2024 Journal Article Using LLM agents to simulate clinical decision-making scenarios in neuro-oncology, validated by several independent clinicians. |
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VROOM: Visual Reconstruction over Onboard Multiview
Yajat Yadav* , Varun Bharadwaj* , Tanish Baranwal* , Jathin Korrapati* Preprint (Class Project), 2025 project page / arXiv / code Reconstructing 3D F1 circuits and car motion using multiple onbard camera views. |
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ONG: Orthogonal Natural Gradient Descent
Yajat Yadav* , Jathin Korrapati* , Patrick Mendoza* Preprint (Class Project), 2025 arXiv / code A continual-learing algorithm based on natural gradients and their projections onto task-specific subspaces. Rotated MNIST figure on the left is from this paper. |
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Website inspired by Jonathan Barron. |