I am a PhD student in the School of Computer Science and Engineering at NTU, Singapore. My research focuses on RL policies’ interpretability, making them trustworthy and amenable to verification. Currently, I am studying the application of decision trees as RL policies. Additionally, I have a strong interest in Computer Vision and Deep Learning. Before joining NTU, I completed my master’s degree at ISI Kolkata and my bachelor’s degree at NIT Silchar.
News
[Aug 2024] Our DTSemNet paper which proposes a novel method to train oblique decision trees using gradient descent got accepted in ECAI 2024 “Vanilla Gradient Descent for Oblique Decision Trees”.
[Jan 2024] We are organizing a Deep Learning Bootcamp in NTU.
[Aug 2023] Appointed as Director of Career and Development in Graduate Students’ Club (SCSE).
[May 2023] Blog on Interpretable Reinforcement Learning is out.
[Jan 2023] I am starting my Ph.D. (CS) at NTU Singapore. I will be working under the supervision of Arvind and Blaise on interpretable RL policies. The Descartes Program funds my PhD.