Outracing Human Racers with Model-based Autonomous Racing. - Ce Hao; Chen Tang 001; Eric Bergkvist; Catherine Weaver; Liting Sun; Wei Zhan; Masayoshi Tomizuka (CoRR, 2022)

Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing. - Shaoshu Su; Ce Hao; Catherine Weaver; Chen Tang 001; Wei Zhan; Masayoshi Tomizuka (CoRR, 2023)

Skill-Critic: Refining Learned Skills for Reinforcement Learning. - Ce Hao; Catherine Weaver; Chen Tang 001; Kenta Kawamoto; Masayoshi Tomizuka; Wei Zhan (CoRR, 2023)

Real-Time Trajectory Generation via Dynamic Movement Primitives for Autonomous Racing. - Catherine Weaver; Roberto Capobianco; Peter R. Wurman; Peter Stone 001; Masayoshi Tomizuka (ACC, 2024)

Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning. - Ce Hao; Catherine Weaver; Chen Tang 001; Kenta Kawamoto; Masayoshi Tomizuka; Wei Zhan (IEEE Robotics Autom. Lett., 2024)

BeTAIL: Behavior Transformer Adversarial Imitation Learning From Human Racing Gameplay. - Catherine Weaver; Chen Tang 001; Ce Hao; Kenta Kawamoto; Masayoshi Tomizuka; Wei Zhan (IEEE Robotics Autom. Lett., 2024)

Residual-MPPI: Online Policy Customization for Continuous Control. - Pengcheng Wang 004; Chenran Li; Catherine Weaver; Kenta Kawamoto; Masayoshi Tomizuka; Chen Tang 001; Wei Zhan (ICLR, 2025)

Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing. - Tommaso Benciolini; Chen Tang 001; Marion Leibold; Catherine Weaver; Masayoshi Tomizuka; Wei Zhan (IEEE Trans. Control. Syst. Technol., 2025)