Autonomous driving at intersections is one of the most complicated and
a...
State estimation is critical to control systems, especially when the sta...
This paper proposes an off-line algorithm, called Recurrent Model Predic...
Safety constraints are essential for reinforcement learning (RL) applied...
The uncertainties in plant dynamics remain a challenge for nonlinear con...