Mitsuhiko Nakamoto
I am a second-year CS Ph.D. student in the Berkeley Artificial Intelligence Research (BAIR) Lab at UC Berkeley, advised by Professor Sergey Levine .
My research goal is to develop algorithms that empower robots with both high-level dexterity and generalization capabilities, and incorporate them into everyday life. To this end, my current interests focus on data-driven approaches to solving real-world robotic tasks, which includes offline reinforcement learning (RL), online RL fine-tuning, and imitation learning.