I'm a master's student at UC Berkeley, advised by Professor Sergey Levine in the Robotic AI & Learning Lab (RAIL). Previously, I also did my undergrad in EECS at Berkeley.
I'm excited about machine learning, education, history, photography, spicy food, exploring new places, and taking naps.
I love teaching and have been actively involved in the education community at Berkeley for a while! Here are some classes I've been involved with:
I'm interested in algorithms to make reinforcement learning feasible in real-world domains such as robotics, autonomous vehicles, and medicine. My current focus is on developing better techniques for uncertainty estimation on deep neural networks, which can be used to improve exploration, goal-driven RL, and offline RL.
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
Kevin Li*, Abhishek Gupta*, Ashwin D Reddy, Vitchyr Pong, Aurick Zhou, Justin Yu, Sergey Levine
International Conference on Machine Learning (ICML) 2021
Simulating Polyculture Farming to Tune Automation Policies for Plant Diversity and Precision Irrigation
Yahav Avigal, Jensen Gao, William Wong, Kevin Li, Grady Pierroz, Fang Shuo Deng, Mark Theis, Mark Presten, Ken Goldberg
IEEE Conference on Automation Science and Engineering (CASE) 2020 - Best Student Paper Award