I am a resarcher in Machine Learning. I did a PhD at the Department of Computer Science in the University of Oxford, where I was advised by Shimon Whiteson. My long term research goal is to create theoretically grounded methods for intelligent agents which scale to large, real-life scenarios.

My research has been generously supported by J.P. Morgan A.I. Fellowship, Google-DeepMind Scholarship and Draper’s Scholarship. Previously, I have also spent time at DeepMind, J.P. Morgan A.I. and Nvidia. Even before that, I did my undergraduate degree in Computer Science at the Indian Institute of Technology, Delhi after which I worked as a research scientist at Xerox Research. My CV can be found here.


I am interested in understanding the principles of intelligent behaviour and creating algorithms which can help machines learn in practical settings. My current work revolves around large-scale approximate Reinforcement Learning (RL), mostly focusing on themes like Generalization, Multi-Agent Systems, Never-ending RL, Representation Learning, Safety/Alignment and Generative Modelling with particular emphasis on computational and mathematical foundations. I am also interested in alternate paradigms for learning intelligent behaviour especially towards equipping agents with attributes that help capture aspects like symmetry, compositionality and reasoning under uncertainity.


  1. Checkout our work on Generalization in Cooperative Multi-Agent Systems, full paper here.
  2. Checkout our work on Open-Ended Learning which leads to Generally Capable Agents, full paper here.
  3. Our work Tesseract using tensor decompositions for factored action spaces accepted for ICML 2021
  4. Our work UneEVen using successor features for exploration in multi agent RL accepted for ICML 2021
  5. I will be starting a research internship at DeepMind in Trinity 2021
  6. Our work RODE using role decomposition for multi agent RL accepted in ICLR 2021
  7. Honoured to be awarded IBM PhD fellowship, 2020
  8. Honoured to be awarded J.P. Morgan A.I. Fellowship, 2020
  9. I will be starting a research internship at J.P. Morgan A.I. in Michaelmas 2020
  10. I will be starting a research internship at Nvidia in Michaelmas 2019
  11. Our work MAVEN using mutual information for efficient exploration in multi agent RL accepted for NeurIPS 2019
  12. Our work VIREL proposing exact equivalence between RL and inference accepted for NeurIPS 2019

Research Opportunities

I am happy to discuss and collaborate on topics related to my research interests. If you are interested, please send me an email. I especially encourage students from under-represented groups and motivated graduate students to reach out.