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Kevin Kim

I am a Junior at the University of Southern California, studying Computer Science and Applied Mathematics and working as a Student Researcher in the LiraLab and the GLAMOR Lab under the guidence of Professors Erdem Biyik and Jesse Thomason.

I aim to develop deep reinforcement learning algorithms enabling robots to: (1) learn efficiently from minimal explicit and implicit feedback—such as demonstrations, corrections, and comparisons—and (2) continuously adapt and improve across diverse tasks and environments. My work is rooted in imitation learning, incorporating techniques from Reinforcement Learning with Human Feedback (RLHF) and Lifelong Learning in Decision Making (LLDM).

Fun Fact: I was a competitive FPV drone racer and was part of the Korean National Drone Racing Team in 2021 and 2022.

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