Arushi Jain

I am fifth year Computer Science (Artificial Intelligence) Ph.D. candidate with Doina Precup at McGill University and Mila, Montreal , Canada.

I am interning at Microsoft Research (MSR) in Amsterdam, hosted by Elise Van Der Pol, where I am working on Molecular Drug Discvery! Prior, I interned in Fall 2022 at Meta AI Research Lab (FAIR) in Paris, hosted by Alessandro Lazaric, where I worked on self-supervised framework integrating exploration and representation in a reward-free zero-shot setting.

I completed my Masters at McGill University and Mila, with Doina Precup. I previously worked as a Research Fellow at Microsoft Research (MSR) India with Sundararajan Sellamanickam . My Bachelor's in Computer Science is from IIIT-Delhi India.

Research Summary: I am interested in advancing the reliability of reinforcement learning systems for real-world applications. I explore innovative optimization techniques to ensure consistent and safe behaviors while bridging insights from various fields to enrich RL. My work also delves into the fusion of representation learning and exploration strategies, and the personalization potential of large language models (LLMs).

Email  /  CV  / Google Scholar  /  Twitter  /  Github

My research focuses on learning safe reinforcement learning (RL) algorithms grounded in theory which can be extended to the real-world applications. I am also interested in off-policy RL and Constrained MDPs (CMDPs).

Source code and style from Jon Barron's website.