Kartik "kb" Bharadwaj

I am a MS CS grad student at Department of Computer Science, IIT Madras. During my undergraduate years, I was part of Assailing Falcons. The engineering skills I cultivated during that time have become integral to my identity.

Email  /  CV  /  Github

My main research interests lie at learning robust representations, safe policies, and hierarchical skills for long-horizon manipulation and navigation tasks. Following are some questions which motivate my research interests:

1. How can we learn robust object-centric representations so that agents can safely perceive and act in the world?
2. How to learn hierachical skill policies for effective re-usability and generalization?
3. How can we provide safety guarantees for the skills learnt?

1. Guiding Offline Reinforcement Learning Using Safety Expert, OfflineRL Workshop, NeurIPS 2022
   Richa Verma, Kartik Bharadwaj, Harshad Khadilkar, Balaraman Ravindran


2. Continuous Tactical Optimism and Pessimism, Adaptive Learning Agents Workshop, AAMAS 2023
   Kartik Bharadwaj, Chandrashekar Lakshminarayanan, Balaraman Ravindran

• 2nd Prize, Third RBCDSAI Conference on Deployable AI, IIT Madras, June 2023 | for presenting my research work on Continuous Tactical Optimism and Pessimism
• 2nd Prize, RBCDSAI Annual Research Showcase, IIT Madras, June 2022 | for present our research work to industry leaders working in ML and Data Science
• Special Achievers Award, VIT Vellore, March, 2018 | Granted by the university for my work in Assailing Falcons
• Among 75 teams, ranked 1st in India and 7th worldwide with 4th in Technical Report & Presentation, SAE Aero design Competition, Florida, USA, April, 2017 | Assailing Falcons

• Dec 2017 | Started 6-month internship at Robert Bosch, Bengaluru | Working on medical imaging to detect abnormal RBCs, WBCs, and platelets morphology
• Sep 2020 | Started MSCS at IIT Madras
• June 2023 | Started research internship at UMass Amherst with Prof. Bruno da Silva

This guy makes a nice webpage.