Tanmay Gangwani

I am an Applied Scientist at Amazon, working towards solving various user-centric problems via the application of machine learning concepts. I enjoy designing solutions that leverage academic and industrial research in the areas of reinforcement learning, deep learning, and natural language processing.

I received my Ph.D. in Computer Science from the University of Illinois, Urbana Champaign, where I was advised by Prof. Jian Peng. My Ph.D. thesis focused on applied algorithms for deep reinforcement learning (RL). Concretely, I studied approaches that utilize expert demonstrations for RL (imitation learning), address the issues of exploration and sparse environmental rewards, and improve sample efficiency with the transfer-RL and meta-RL paradigms.

Before this, my research was at the intersection of computer architecture and compilers. I earned my Master's degree from the same school, advised by Prof. Josep Torrellas.

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Template imitation-learning (pun intended) using this!