Our work “Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems” got accepted for publication in the Journal of Machine Learning Research (JMLR). This paper extends inverse reinforcement learning to ...
Read More
Our work “How can a radar mask its cognition?” got accepted for publication in IEEE Transactions in Aerospace and Electronics Systems with revision. This paper addresses the problem of inverse-inverse reinforcement learning in cognitive ...
Read More
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 ...
Read More
I had a great time presenting my recent research on inverse-inverse reinforcement learning and adversarial privacy-preserving methods at Adobe Research, Bengaluru. Shoutout to the Systems and Insights Group for so graciously agreeing to host ...
Read More
