Policy Gradients for Probabilistic Constrained Reinforcement Learning

Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain

This paper considers the problem of learning safe policies in the context of reinforcement learning (RL). In particular, we consider the notion of probabilistic safety. This is, we…