Control-theoretic methods for reinforcement learning
Reinforcement Learning (RL) has become a cornerstone of modern artificial intelligence and control theory, enabling complex decision-making tasks in a wide variety of domains such as robotics, autonomous driving and strategic games. While deep neural networks allow RL methods to address large-scale problems, exploiting...