Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation

Yu Chen, Xiangcheng Zhang, Siwei Wang +1

In the realm of reinforcement learning (RL), accounting for risk is crucial for making decisions under uncertainty, particularly in applications where safety and reliability are pa…