Short Bio

This is Shangqun Yu, I am currently doing Reinforcement Learning and robotics related research with with Prof. Michael Littman, Prof. Stefanie Tellex and Prof. George Konidaris My primary research interests lie in combining reinforcement learning and robotics. I am especially interested in developing deep RL algorithms that can learn in the realworld, and combining learned skills for complex robotic manipulation tasks. My ultimate goal by building intelligent robots is to assist humans in their everyday tasks, extending their autonomy, and improving their quality of life.

Publication

Here are the projects I have done.

RBF-DQN for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings Shangqun Yu*, Sreehari Rammohan*, Bowen He*, Eric Hsiung*, Eric Rosen, Stefanie Tellex, George Konidaris -RSS 21 AIMR Workshop [pdf]

Bayesian Exploration for Lifelong Reinforcement Learning
Haotian Fu, Shangqun Yu, Michael L. Littman
-Deep RL Workshop Neurips 2021 [pdf]

Exploring Improvements in Value Based Deep RL for Continuous Control
Shangqun Yu*, Sreehari Rammohan*, Bowen He*, Eric Hsiung*, Eric Rosen, George Konidaris
-preprint [pdf]

Learning Generalizable Behavior via Visual Rewrite Rules
Yiheng Xie*, Mingxuan Li*, Shangqun Yu*, Michael L. Littman, George Konidaris
-AAAI-22 Workshop on Reinforcement Learning in Games [pdf]

Miscellaneous

A day in the life of a robot dog at Brown

I made a video for our IRL lab's new spot robots. Youtube Link