Chen Tang

CS Postdoc at UT Austin -- Previously ME Ph.D. from UC Berkeley.


Hi! I’m Chen, a Postdoctoral Fellow in Computer Science at UT Austin, advised by Prof. Peter Stone in the Learning Agents Research Group (LARG). Prior to this, I was a Postdoctoral Scholar in Mechanical Engineering at UC Berkeley, advised by Prof. Masayoshi Tomizuka. I led the behavior-related research activities for autonomous driving at Mechanical Systems Control (MSC) Lab. I obtained my Ph.D. in Mechanical Engineering at UC Berkeley and my Bachelor’s degree in Mechanical Engineering from the Hong Kong University of Science and Technology (HKUST). I have also spent time in Honda Research Institute and Waymo as interns.

My research interest lies at the intersection of control, robotics, and learning. I am interested in developing trustworthy autonomous systems interacting with humans. To tackle this research challenge, I am dedicated to exploring principled approaches to integrate data-driven approaches (e.g., deep learning, reinforcement learning, and imitation learning) with techniques from control, explainable AI, and casualty. My past and current research primarily focused on applications in autonomous driving and robot navigation. My long-term research vision is to contribute to creating a unified framework for trustworthy and human-centered autonomy, which aims to expedite the their integration into everyday life, yielding substantial societal benefits.


Oct 16, 2023 We organized the Workshop on Scenario and Behavior Diversity in Simulation for Autonomous Vehicle Validation at IEEE IAVVC 2023!
Sep 21, 2023 Our paper “Residual Q-Learning: Offline and Online Policy Customization without Value” is accepted for NeurIPS 2023! Checkout our paper, code, and website.
Aug 1, 2023 I started as a Postdoctoral Fellow in LARG at UT Austin!
Jun 8, 2023 Our paper “Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation” is accepted for RA-L!
Jun 4, 2023 I gave an invited talk at the Workshop on Social, Interactive and Safe Behaviors for AVs: Benchmarks, Models, and Applications at IEEE IV 2023!
Jun 4, 2023 We organized the Workshop on the Development of Socially-compliant Driving Behaviour for Automated Vehicles at IEEE IV 2023!
Apr 28, 2023 I am selected as one of the 30 Robotics Pioneers for 2023!