I am a senior research scientist in the Google DeepMind Team in Montréal. I finished my PhD at Mila under the guidance of Aaron Courville and Marc Bellemare. Previously, I spent a year at Geoffrey Hinton's amazing team in Google Brain, Toronto. Earlier, I graduated in Computer Science and Engineering from IIT Bombay.
My research work mainly revolves around deep reinforcement learning (RL), often with the goal of making RL methods suitable for real-world problems, and includes an outstanding paper award at NeurIPS.
News
- 4 papers, including an oral, accepted at ICML'23.
- 3 papers, including an oral, accepted at ICLR'23 (related to scaling TD methods) and one paper accepted at AISTATS'23.
- Co-organizing an in-person workshop on Reincarnating RL at ICLR 2023 in Kigali, Rwanda.
- Talk on Reincarnating RL at the UpML workshop at ICML 2022.
- Co-organizing an in-person workshop on "Offline RL as a Launchpad" at NeurIPS 2022.
- One paper each accepted at AAAI'22, AISTATS'22, and ICLR'22.
- Co-organizing a workshop on " Setting ML Evaluation Standards to Accelerate Progress at ICLR 2022.
- Outstanding paper award at NeurIPS 2021
- Two papers accepted at NeurIPS 2021: one oral presentation and one spotlight.
- Co-organizing the 2nd Offline RL workshop at NeurIPS 2021.