5 citations · 10 across the 15 of their papers we have counts for
4 papers · 1 filter
MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
Yiwen Lu, Zishuo Li, Yihan Zhou +2
In this paper, we introduce a new class of parameterized controllers, drawing inspiration from Model Predictive Control (MPC). The controller resembles a Quadratic Programming (QP)…
Generalized Activation via Multivariate Projection
Jiayun Li, Yuxiao Cheng, Yiwen Lu +3
Activation functions are essential to introduce nonlinearity into neural networks, with the Rectified Linear Unit (ReLU) often favored for its simplicity and effectiveness. Motivat…
Consecutive Inertia Drift of Autonomous RC Car via Primitive-based Planning and Data-driven Control
Yiwen Lu, Bo Yang, Jiayun Li +3
Inertia drift is an aggressive transitional driving maneuver, which is challenging due to the high nonlinearity of the system and the stringent requirement on control and planning…
Almost Surely Regret for Adaptive LQR
Yiwen Lu, Yilin Mo
The Linear-Quadratic Regulation (LQR) problem with unknown system parameters has been widely studied, but it has remained unclear whether regret, w…