15 citations · 26 across the 5 of their papers we have counts for
5 papers
Learning the Kalman Filter with Fine-Grained Sample Complexity
Xiangyuan Zhang, Bin Hu, Tamer Başar
We develop the first end-to-end sample complexity of model-free policy gradient (PG) methods in discrete-time infinite-horizon Kalman filtering. Specifically, we introduce the rece…
Revisiting LQR Control from the Perspective of Receding-Horizon Policy Gradient
Xiangyuan Zhang, Tamer Başar
We revisit in this paper the discrete-time linear quadratic regulator (LQR) problem from the perspective of receding-horizon policy gradient (RHPG), a newly developed model-free le…
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
Kaiqing Zhang, Xiangyuan Zhang, Bin Hu +1
Direct policy search serves as one of the workhorses in modern reinforcement learning (RL), and its applications in continuous control tasks have recently attracted increasing atte…
State Estimation for Legged Robots Using Contact-Centric Leg Odometry
Shuo Yang, Hans Kumar, Zhaoyuan Gu +3
Our goal is to send legged robots into challenging, unstructured terrains that wheeled systems cannot traverse. Moreover, precise estimation of the robot's position and orientation…
Non-Cooperative Inverse Reinforcement Learning
Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling +1
Making decisions in the presence of a strategic opponent requires one to take into account the opponent's ability to actively mask its intended objective. To describe such strategi…