Shreyas Chaudhari

I am a final-year PhD student at the Autonomous Learning Lab at the University of Massachusetts, Amherst co-advised by Bruno Castro da Silva and Philip Thomas.

I am interested in bringing the theoretical promises of reinforcement learning to the large and complex problems of sequential decision-making in practice. To that end, my research integrates themes of abstraction, approximation, and partial selection into practical algorithms for reinforcement learning at scale, while also studying problems of fundamental characteristics and applications of LLMs.

Previously, I was a master’s student at Carnegie Mellon University in the Department of Electrical and Computer Engineering. During my time there, I worked on reinforcement learning with Prof. Ben Eysenbach and bandit algorithms with Prof. Gauri Joshi. I recieved my Bachelor’s degree in Electrical Engineering from IIT Madras, where I worked on reinforcement learning with Prof. L.A. Prashanth.

I am on the job market for full-time industry research positions. Feel free to reach out if there’s a good fit.

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