Actively searching for summer internships in the ML / CV / LLM / Robotics space
Spring 2024 - Instructor for Reinforcement Learning at Tufts University
Fall 2023 - Instructor for Reinforcement Learning at Tufts University
2014-2018 - Bachelors in Mechanical Engineering, BITS Pilani
Spring 2018 - Internship at Centre for AI and Robotics, Bangalore
My research interests can broadly be categorized as follows:
Foundational Models (LLMs / VLMs): Leveraging LLMs / VLMs to improve sample efficiency of RL agents and embodied robotic agents.
Neurosymbolic AI: Using temporal logical specifications and planning domains to improve learning progress of RL agents.
Curriculum Learning for RL: Coming up with efficient representations to break down complex RL task into simpler sequenatial and graphical task representations that improve the learning progress of RL agents.
CV and Robotics: Understanding and analyzing human intent using CV (Images, Videos, Depth) and natural language for efficient human-robot collaboration.
Most applications of my work are directed toward Robotics and Robot Learning.
Please visit my Publications page for up-to-date information on my ongoing research.
[Feb 2024] Our paper on Logical Specifications-guided Dynamic Task Sampling for RL agents accepted at ICAPS 2024!
[Dec 2023] Our paper on LLM-guided Dynamic Task Sampling for RL agents accepted at AAMAS 2024!
Feel free to reach out to me at: yash DOT shukla AT tufts DOT edu