Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian

Baiyu Peng, Jingliang Duan, Jianyu Chen +6

Safety is essential for reinforcement learning (RL) applied in the real world. Adding chance constraints (or probabilistic constraints) is a suitable way to enhance RL safety under…