4 papers
Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression
Han Wang, Donghe Chen, Tengjie Zheng +2
Modern aerospace guidance systems demand rigorous constraint satisfaction, optimal performance, and computational efficiency. Traditional analytical methods struggle to simultaneou…
Error Distribution Smoothing:Advancing Low-Dimensional Imbalanced Regression
Donghe Chen, Jiaxuan Yue, Tengjie Zheng +2
In real-world regression tasks, datasets frequently exhibit imbalanced distributions, characterized by a scarcity of data in high-complexity regions and an abundance in low-complex…
Adviser-Actor-Critic: Eliminating Steady-State Error in Reinforcement Learning Control
Donghe Chen, Yubin Peng, Tengjie Zheng +3
High-precision control tasks present substantial challenges for reinforcement learning (RL) algorithms, frequently resulting in suboptimal performance attributed to network approxi…
Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function
Donghe Chen, Han Wang, Lin Cheng +1
Reinforcement Learning (RL) has shown promise in control tasks but faces significant challenges in real-world applications, primarily due to the absence of safety guarantees during…