Kalman-Wasserstein divergence

New KL Divergence Analogs Improve Reinforcement Learning Control

Researchers have introduced new divergences that act as analogs to Kullback-Leibler (KL) divergence, addressing its limitations in reinforcement learning, particularly when distributions do not match or in low-noise sce…