Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning

Chenglin Li, Guangchun Ruan, Hua Geng

Safe reinforcement learning (RL) is a popular and versatile paradigm to learn reward-maximizing policies with safety guarantees. Previous works tend to express the safety constrain…