Charles Sun

I am a third-year undergraduate at UC Berkeley. I work on deep reinforcement learning and robotics as part of the Robotic AI & Learning Lab  with Professor Sergey LevineColine Devin,  and Glen Berseth.

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I am broadly interested in reinforcement learning, robotics, game playing, deep learning, and artificial intelligence. In particular, I'm interested in sample-efficient learning in vision-based settings for simulated and real robotic systems.

ReLMM: Practical RL for Learning Mobile Manipulation Skills using Only Onboard Sensors
Charles Sun*, Coline Devin*, Brian Yang, Jędrzej Orbik, Ahbishek Gupta, Glen Berseth, Sergey Levine
Under review as a conference paper at RSS 2021
website / code

We study how mobile manipulators can autonomously learn skills that require a combination of navigation and grasping. We propose ReLMM, a mobile manipulation system that can learn continuously on a real-world platform without any environment instrumentation, with minimal human intervention, and without access to privileged information, such as maps, objects positions, or a global view of the environment.


As a Teaching Assistant, I lead weekly discussion sections and hold office hours to help students.

EECS 126: Probability and Random Processes
Teaching Assistant: Spring 2021

CS 170: Efficient Algorithms and Intractable Problems
Teaching Assistant: Fall 2020

CS 61A: Structure and Interpretation of Computer Programs
Teaching Assistant: Spring 2020, Fall 2019

Website template from Jon Barron
Last updated March 2021