Decoupling Time and Risk: Risk-Sensitive Reinforcement Learning with General Discounting

Mehrdad Moghimi, Anthony Coache, Hyejin Ku

Distributional reinforcement learning (RL) is a powerful framework increasingly adopted in safety-critical domains for its ability to optimize risk-sensitive objectives. However, t…