Safe and Efficient Reinforcement Learning Using Disturbance-Observer-Based Control Barrier Functions

Yikun Cheng, Pan Zhao, Naira Hovakimyan

Safe reinforcement learning (RL) with assured satisfaction of hard state constraints during training has recently received a lot of attention. Safety filters, e.g., based on contro…