… This article describes the use of principles of reinforcement learning to design feedback …
and algorithms of reinforcement learning and their applications to feedback control of dynamical …

… reinforcement learning-based solutions, where learning occurs through an actor–critic-based
reward system. Detailed attention to control-… literature on reinforcement learning. Moreover, …

… reinforcement learning, feedback control and how we transform a feedback control problem
into a reinforcement learning … to that of our learned feedback controller in a later section. A …

… for the benchmarks we introduce for learning feedback control. Within the scope of this …
especially within the context of reinforcement learning for feedback control applications. It was …

… (RL) algorithm is applied for feedback control application. We propose Proximal Actor-Critic,
a model-free reinforcement learning algorithm that can learn robust feedback control laws …

… output feedback controller design is quite difficult and challenging. Several output feedback
controller … In this paper, an output feedback controller design using the adaptive critic neural …

… feedback control studied in this paper: Feedback Controller Transfer Function, State Feedback
… • Section IV A presentation of the REINFORCE method used for learning in this paper • …

… reinforcement learning (RL)-based feedback control solutions to optimal … control problems,
as well as graphical games, will be reviewed. RL methods learn the solution to optimal control …

… reinforcement learning (RL)-empowered feedback control method for cooperative load balancing
(RFCLB). First, by integrating RL and machine learning … Next, through feedback control …

… In this section, a state-feedback model-free Off-policy RL algorithm is given to learn the
solution to the discounted optimal control problem formulated in Section II-A. This algorithm does …