Search Results for author:
Found 2 papers, 0 papers with code
Off-policy reinforcement learning for $ H_\infty $ control design
The $H_\infty$ control design problem is considered for nonlinear systems with unknown internal system model.
Data-based approximate policy iteration for nonlinear continuous-time optimal control design
Firstly, a model-free policy iteration algorithm is derived for constrained optimal control problem and its convergence is proved, which can learn the solution of HJB equation and optimal control policy without requiring any knowledge of system mathematical model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
