The annual release of MATLAB and Simulink from MathWorks always brings new features to the fore. That remains the case with MATLAB 2019a, which packs quite a few enhancements and additions to an ...
This repo trains a DDPG agent (MATLAB Reinforcement Learning Toolbox) to tune a FOPID controller inside a Simulink model (RL_Model.slx) for a self-balancing robot (inverted-pendulum-like). The agent ...
This repository contains a complete implementation of a Fault-Tolerant Controller (FTC) for a quadcopter, developed using MATLAB, Simulink, and the Reinforcement Learning Toolbox. The controller is ...
MathWorks’ MATLAB 2018b release serves up a number of new features, including the Deep Learning Toolbox that supports development of machine-learning applications. Other new features include the 5G ...
Abstract: This paper investigates reinforcement learning (RL) as a practical framework for achieving optimal adaptive control across several simple dynamical system models. All experiments were ...
Abstract: We report a newly developed room-temperature (RT) shimming method for high-temperature superconducting (HTS) magnets employing a deep Q-network (DQN), a type of reinforcement learning theory ...