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 ...
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 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 ...
Today MathWorks introduced Release 2019a of MATLAB and Simulink. The release contains new products and important enhancements for artificial intelligence (AI), signal processing, and static analysis, ...
NATICK, Mass.--(BUSINESS WIRE)--MathWorks today introduced Release 2019a of MATLAB and Simulink. The release contains new products and important enhancements for artificial intelligence (AI), signal ...
Abstract: This paper presents a deep reinforcement learning (RL) approach for training mobile robots to navigate complex environments using the Twin Delayed Deep Deterministic Policy Gradient (TD3) ...
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