Zhouchi Li

Model-based Reinforcement Learning with Provable Safety Guarantees via Control Barrier Functions

Safety is a critical property in applications including robotics, transportation, and energy. Safety is especially challenging in reinforcement learning (RL) settings, in which uncertainty of the system dynamics may cause safety violations during exploration. Control Barrier Functions (CBFs), which…