Tejus Gupta

I’m a final-year PhD student in the Robotics Institute, CMU, advised by Jeff Schneider. My primary research area is reinforcement learning, with applications in robotics, post-training, and active experimentation. During my PhD, I developed and deployed imitation learning and RL algorithms for large-scale active search with teams of ground robots and drones. This work received a best deployed systems paper award at ICRA. More recently, I've been working on post-training and using language models for active experimentation. 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.