CT-DQN: Control-Tutored Deep Reinforcement Learning

Francesco De Lellis, Marco Coraggio, Giovanni Russo +2

One of the major challenges in Deep Reinforcement Learning for control is the need for extensive training to learn the policy. Motivated by this, we present the design of the Contr…