About me

I’m a second year Master’s student at Mila and the Reasoning and Learning Lab at McGill University where I work on Reinforcement Learning under the supervision of Prof. Doina Precup. I also hold a Bachelors degree in Mathematics and Software Engineering from McGill University.

My research interests are broadly focused on getting agents to make “optimal” decisions in complex environements (whatever we decide “optimal” means). This leads me to work at the intersection of Reinforcement Learning and Deep Learning.

I’m always interested in learning new things and talking to people about machine learning in general, feel free to reach out if you want to chat!

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Project Highlights

AAMAS 2020 paper

Work done at Mila presented at AAMAS 2020 as an extended abstract.

ICML 2019 workshop paper

Some work done at Mila presented at an ICML workshop.

Lectures given at McGill on introductory topics in Reinforcement learning

Tutorials on introductory Reinforcement Learning topics as part of my Lectures for a course at McGill taught to Master students in the Management department.

Implementation of basic policy gradient algorithms used in Reinforcement Learning

Reimplementation of REINFORCE and one-step Actor-Critic in pytorch.