Sanmit Narvekar
sanmit at cs dot utexas dot edu
Office: GDC 3.424E

I defended my PhD from the Learning Agents Research Group at the Department of Computer Science at the University of Texas at Austin, where I was advised by Peter Stone. My dissertation research focused on curriculum learning -- the automated design of a sequence of training tasks that enable autonomous agents to learn faster or better. I was also a member of the UT Austin Villa Standard Platform League team, where I worked primarily on the vision system.

I received my BS in computer science from California State University, Los Angeles, where I worked on using probabilistic automata (e.g. HMMs, etc.) for anomaly detection in computer agents with Valentino Crespi. I also worked part time at the Jet Propulsion Laboratory, where I used multispectral and synthetic aperture radar data to detect natural disasters, and interned at Google with Eugene Ie and Craig Boutilier to apply RL to recommendation systems.

I am currently a Research Scientist at Waymo, where I work on ML models for behavior prediction in self-driving cars.

PhD Thesis  /  Google Scholar

Fall 2015: TA for CS 344M: Autonomous Multiagent Systems
Fall 2016: TA for CS 394R: Reinforcement Learning: Theory and Practice