tejusg@cs.cmu.edu
I’m a fourth-year PhD student in the Robotics Institute, CMU advised by Jeff Schneider. I’m currently working at the intersection of Reinforcement Learning and Bayesian Experimental Design, trying to answer questions like ‘how do we get good Q-value uncertainty estimates?’ and ‘how can we efficiently learn non-myopic experimental design policies’?
I tend to get interested in new decision-making problems fairly easily. I worked on adaptive models for intent recognition and assistance for human teams in disaster search and rescue with Katia Sycara during my Masters at CMU. Before this, I led the development of lane detection and path planning algorithms for our lab’s test vehicles at the Autonomous Ground Vehicle (AGV) group at IIT Kharagpur.