In recent years, the analysis of a control barrier function has received considerable attention because it is helpful for the safety-critical control required in many control application problems.

The state and input constraints of nonlinear systems could greatly impede the realization of their optimal control when using reinforcement learning (RL)-based approaches since the commonly used ...