A Survey of Constraint Formulations in Safe Reinforcement Learning

Akifumi Wachi, Xun Shen, Yanan Sui

Safety is critical when applying reinforcement learning (RL) to real-world problems. As a result, safe RL has emerged as a fundamental and powerful paradigm for optimizing an agent…