Tejus Gupta

I’m a final-year PhD student in the Robotics Institute, CMU, advised by Jeff Schneider. My research lies at the intersection of Reinforcement Learning and Bayesian Optimization, answering questions like 'how can we efficiently train exploratory policies using reinforcement learning?' and 'how can a team of drones and ground robots explore efficiently without centralization?'. Most recently, I've been working on leveraging rich priors from large language models for Bayesian optimization. I am currently on the industry job market.

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.