Risk-Averse Reinforcement Learning via Dynamic Time-Consistent Risk Measures

Xian Yu, Siqian Shen

Traditional reinforcement learning (RL) aims to maximize the expected total reward, while the risk of uncertain outcomes needs to be controlled to ensure reliable performance in a…