Sheel Dey
Pi Star Lab
Computer Science and Engineering
Texas A&M University
EABC, Room 107B, 588 Lamar St, College Station, TX 77840
Hi, I am a 4th year computer science Ph.D. student at Texas A&M University, where I work with Dr. Guni Sharon in the Pi Star Lab. My research interests lie at the intersection of reinforcement learning and robotics. My current research focuses on leveraging demonstrations and interventions to make reinforcement learning safer and faster.
In summer 2022, I interned with Motional developing RL-based motion planners for autonomous driving. Prior to that, I interned with Teale designing RL-based algorithms for automated oil drilling in spring 2022.
I previously received an M.S. in computer science from Texas A&M University, during which I was fortunate to work with Dr. Atlas Wang and Dr. Jun Wang on brain image analysis.
news
Teaching Assistant for CSCE 421 - Machine Learning offered by Dr. Theodora Chaspari in Fall 2022.
I am interning with Motional over the summer developing RL-based motion planners.
I am interning with Teale over the next 3 months helping develop the next generation of downhole drilling automation.
Teaching Assistant for CSCE 421 - Machine Learning offered in Fall 2021.
Teaching Assistant for CSCE 689 - Reinforcement Learning offered in Spring 2021.
Teaching Assistant for CSCE 625 - Introduction to Artificial Intelligence offered in Fall 2020.
Ran a virtual workshop session on Model Interpretability
at the TAMU Datathon Summer Bootcamp. [Recording ] [Notebook ]
My team Pi-star Skyblazers won the 2020 TAMIDS Data Science Competition. Thanks and congrats to my team-mate Sumedh Pendurkar. [Video ] [Code ]