Jeffrey Wu

I am a first-year CS PhD student at Columbia University, where I am advised by Professor Elias Bareinboim. My general research interests span the intersection of machine learning and robotics.

Previously, I received my bachelor's degree and master's degree in computer science at UC Berkeley, where I was advised by Professor Sergey Levine and mentored by Jianlan Luo in the Robotic AI & Learning Lab (RAIL) as part of BAIR. At Berkeley, I worked on deep reinforcement learning and its applications to robotic manipulation.

jgw2140 [at] columbia [dot] edu  /  GitHub  /  Google Scholar

Research

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Jianlan Luo, Charles Xu, Jeffrey Wu, Sergey Levine

Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning

Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine

FMB: A Functional Manipulation Benchmark for Generalizable Robotic Learning

Jianlan Luo*, Charles Xu*, Fangchen Liu, Liam Tan, Zipeng Lin, Jeffrey Wu, Pieter Abbeel, Sergey Levine

Teaching

EE 122: Introduction to Communication Networks

uGSI: Spring 2023

EECS 127: Optimization Models in Engineering

Reader: Spring 2022, Tutor: Fall 2022

Design and source code from Jon Barron.