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I am currently pursuing Master's in Computer Science at McGill University and MILA, where I am working under the supervision of Dr. Doina Precup. I am fascinated by the problem of Model Based Reinforcement Learning which provides an elegant way of performing planning and learning and am working on efficient approaches for modeling reward and state transition distributions.
Github / Google Scholar / LinkedIn / CV

Research Interests:

  • Machine Learning
  • Reinforcement Learning
  • Relational Learning
  • Bayesian Modeling
You can find more about me here. Blog contains some of the posts I have written, based on the papers that I read or just algorithms I worked on as part of my Probabilistic Graphical Models course and Reinforcement Learning course.