Safe Reinforcement Learning with Chance-constrained Model Predictive Control

Samuel Pfrommer, Tanmay Gautam, Alec Zhou +1

Real-world reinforcement learning (RL) problems often demand that agents behave safely by obeying a set of designed constraints. We address the challenge of safe RL by coupling a s…