Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds

Hao Liang, Zhi-Quan Luo

We study the regret guarantee for risk-sensitive reinforcement learning (RSRL) via distributional reinforcement learning (DRL) methods. In particular, we consider finite episodic M…