4 papers
Policy Optimization for PDE Control with a Warm Start
Xiangyuan Zhang, Saviz Mowlavi, Mouhacine Benosman +1
Dimensionality reduction is crucial for controlling nonlinear partial differential equations (PDE) through a "reduce-then-design" strategy, which identifies a reduced-order model a…
Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization
Xiaoyu Xie, Saviz Mowlavi, Mouhacine Benosman
Spatiotemporal modeling is critical for understanding complex systems across various scientific and engineering disciplines, but governing equations are often not fully known or co…
OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering
Alexander Schperberg, Yusuke Tanaka, Saviz Mowlavi +3
State estimation for legged robots is challenging due to their highly dynamic motion and limitations imposed by sensor accuracy. By integrating Kalman filtering, optimization, and…
Global Convergence of Receding-Horizon Policy Search in Learning Estimator Designs
Xiangyuan Zhang, Saviz Mowlavi, Mouhacine Benosman +1
We introduce the receding-horizon policy gradient (RHPG) algorithm, the first PG algorithm with provable global convergence in learning the optimal linear estimator designs, i.e.,…