47 citations · 57 across the 14 of their papers we have counts for
5 papers · 1 filter
Learning a Better Control Barrier Function Under Uncertain Dynamics
Bolun Dai, Prashanth Krishnamurthy, Farshad Khorrami
Using control barrier functions (CBFs) as safety filters provides a computationally inexpensive yet effective method for constructing controllers in safety-critical applications. H…
State Constrained Stochastic Optimal Control for Continuous and Hybrid Dynamical Systems Using DFBSDE
Bolun Dai, Prashanth Krishnamurthy, Andrew Papanicolaou +1
We develop a computationally efficient learning-based forward-backward stochastic differential equations (FBSDE) controller for both continuous and hybrid dynamical (HD) systems su…
Data-Efficient Control Barrier Function Refinement
Bolun Dai, Heming Huang, Prashanth Krishnamurthy +1
Control barrier functions (CBFs) have been widely used for synthesizing controllers in safety-critical applications. When used as a safety filter, it provides a simple and computat…
Learning a Better Control Barrier Function
Bolun Dai, Prashanth Krishnamurthy, Farshad Khorrami
Control barrier functions (CBFs) are widely used in safety-critical controllers. However, constructing a valid CBF is challenging, especially under nonlinear or non-convex constrai…
State Constrained Stochastic Optimal Control Using LSTMs
Bolun Dai, Prashanth Krishnamurthy, Andrew Papanicolaou +1
In this paper, we propose a new methodology for state constrained stochastic optimal control (SOC) problems. The solution is based on past work in solving SOC problems using forwar…