Risk-Sensitive Q-Learning in Continuous Time with Application to Dynamic Portfolio Selection

Chuhan Xie

This paper studies the problem of risk-sensitive reinforcement learning (RSRL) in continuous time, where the environment is characterized by a controllable stochastic differential…