3 papers
cs.AI2025
Off-policy Reinforcement Learning with Model-based Exploration Augmentation
Likun Wang, Xiangteng Zhang, Yinuo Wang +5
Exploration is fundamental to reinforcement learning (RL), as it determines how effectively an agent discovers and exploits the underlying structure of its environment to achieve o…
eess.SY2025
Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems
Weixian He, Zeyu He, Wenhan Cao +5
Filtering is crucial in engineering fields, providing vital state estimation for control systems. However, the nonlinear nature of complex systems and the presence of non-Gaussian…
eess.SY2024
An Explicit Discrete-Time Dynamic Vehicle Model with Assured Numerical Stability
Guojian Zhan, Qiang Ge, Haoyu Gao +3
Numerical stability is of great significance for discrete-time dynamic vehicle model. Among the unstable factors, low-speed singularity stands out as one of the most challenging is…