K-Score: Kalman Filter as a Principled Alternative to Reward Normalization in Reinforcement Learning

Zixuan Xia, Quanxi Li

We propose a simple yet effective alternative to reward normalization in policy gradient reinforcement learning by integrating a 1D Kalman filter for online reward estimation. Inst…