Uniformly Safe RL with Objective Suppression for Multi-Constraint Safety-Critical Applications

Zihan Zhou, Jonathan Booher, Khashayar Rohanimanesh +3

Safe reinforcement learning tasks are a challenging domain despite being very common in the real world. The widely adopted CMDP model constrains the risks in expectation, which mak…