131 citations · 132 across the 3 of their papers we have counts for
3 papers
cs.RO2023
Learning Stabilization Control from Observations by Learning Lyapunov-like Proxy Models
Milan Ganai, Chiaki Hirayama, Ya-Chien Chang +1
The deployment of Reinforcement Learning to robotics applications faces the difficulty of reward engineering. Therefore, approaches have focused on creating reward functions by Lea…
cs.RO2021★ 1 cited
Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics
Ya-Chien Chang, Sicun Gao
The lack of stability guarantee restricts the practical use of learning-based methods in core control problems in robotics. We develop new methods for learning neural control polic…
cs.LG2020★ 131 cited
Neural Lyapunov Control
Ya-Chien Chang, Nima Roohi, Sicun Gao
We propose new methods for learning control policies and neural network Lyapunov functions for nonlinear control problems, with provable guarantee of stability. The framework consi…