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On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach
IEEE Robotics and Automation Letters (RA-L), 2023
5 May 2023
A. Chriat
Chuangchuang Sun
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Papers citing
"On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach"
3 / 3 papers shown
Certificated Actor-Critic: Hierarchical Reinforcement Learning with Control Barrier Functions for Safe Navigation
IEEE International Conference on Robotics and Automation (ICRA), 2025
Junjun Xie
Shuhao Zhao
Liang Hu
Huijun Gao
229
3
0
29 Jan 2025
Learning-Enhanced Safeguard Control for High-Relative-Degree Systems: Robust Optimization under Disturbances and Faults
Xinyang Wang
Hongwei Zhang
Shimin Wang
Wei Xiao
M. Guay
263
3
0
28 Jan 2025
Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming
A. Chriat
Chuangchuang Sun
242
1
0
03 Oct 2023
1
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