Our conference paper on inverse reinforcement learning under information asymmetry constraints got accepted for publication/presentation at ICASSP, 2023. This paper is a result of a joint collaboration with Christopher Berry from Lockheed Martin, and ...
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Our work “Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems” got accepted with minor revision at Journal of Machine Learning Research (JMLR).

I was fortunate to present our work at the 2020 Sloan-NOMIS Conference on Attention and Applied Economics with my advisor, Dr. Vikram Krishnamurthy. Our work involved the use of information economics tools on identifying ...
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