Investigations into the Design and Implementation of Reinforcement Learning Using Deep Learning Neural Networks

Investigations into the Design and Implementation of Reinforcement Learning Using Deep Learning Neural Networks

This paper investigates the design and MATLAB/Simulink implementation of two intelligent neural reinforcement learning control algorithms based on deep learning neural network structures (RL DLNNs), for a complex Heating Ventilation Air Conditioning (HVAC) centrifugal chiller system (CCS). Our motiv...

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Bibliographic Details
Main Authors: Roxana-Elena Tudoroiu, Mohammed Zaheeruddin, Daniel-Ioan Curiac, Mihai Sorin Radu, Nicolae Tudoroiu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Algorithms
Subjects:
centrifugal chiller system
reinforcement learning
deep learning neural network
Online Access:https://www.mdpi.com/1999-4893/18/3/170
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