Feasible Policy Iteration for Safe Reinforcement Learning

Yujie Yang, Zhilong Zheng, Shengbo Eben Li +4

Safety is the priority concern when applying reinforcement learning (RL) algorithms to real-world control problems. While policy iteration provides a fundamental algorithm for stan…