Arjun Krishna
I am a CS PhD student at the University of Pennsylvania advised by Prof. Dinesh Jayaraman. My research interests broadly lie in area of robot learning, with specific interests in understanding the nature of information flow in perception-action loops and developing resource-efficient agents.
I previously obtained my Master’s in Computer Science from Georgia Tech, where I had the privileged of being advised by Prof. Matthew Gombolay. I received my Bachelor’s in Computer Science at IIT Madras, and was introduced to reinforcement learning research there by Prof. Balaraman Ravindran. Before returning to academia, I spent a few years as a Software Engineer at Indeed Japan, working on recommendation systems and advertisement bidding.
Publications
HRI '24: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
[article]
HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
[article]
IEEE Robotics and Automation Letters (presented at IROS'23)
[arxiv] [overview-video] [promo-video]
NeurIPS-W 2022 (DeepRL workshop)
[pre-print]