The full deployment of autonomous driving systems on a worldwide scale
r...
Model Predictive Control (MPC) approaches are widely used in robotics, s...
Re-planning in legged locomotion is crucial to track a given set-point w...
In this paper, we consider solving discounted Markov Decision Processes
...
Reinforcement Learning offers tools to optimize policies based on the da...
Model Predictive Control has been recently proposed as policy approximat...
For all its successes, Reinforcement Learning (RL) still struggles to de...