Probabilistic Constrained Reinforcement Learning with Formal Interpretability

Yanran Wang, Qiuchen Qian, David Boyle

Reinforcement learning can provide effective reasoning for sequential decision-making problems with variable dynamics. Such reasoning in practical implementation, however, poses a…