2 papers
eess.SY2026
CAR-EnKF: A Covariance-Adaptive and Recalibrated Ensemble Kalman Filter Framework
Shida Jiang, Shengyu Tao, Zihe Liu +1
The ensemble Kalman filter (EnKF) is widely used for nonlinear and high-dimensional state estimation because it replaces complex covariance propagation with simple ensemble statist…
cs.LG2024
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points
Zihe Liu, Jie Lu, Guangquan Zhang +1
Deep reinforcement learning is used in various domains, but usually under the assumption that the environment has stationary conditions like transitions and state distributions. Wh…