Výsledky vyhledávání - twin-delay deep deterministic policy gradient algorithm*

A theoretical demonstration for reinforcement learning of PI control dynamics for optimal speed control of DC motors by using Twin Delay Deep Deterministic Policy Gradient Algorithm

Autoři: Tufenkci, Sevilay Alagoz, Baris Baykant Kavuran, Gürkan a další

Témata: Deep reinforcement learning, DC motor, PI controller, Twin -delayed deep deterministic policy, gradient, Metaheuristic optimization

URL: http://hdl.handle.net/11012/208567
https://www.sciencedirect.com/science/article/pii/S0957417422022102
EXPERT SYSTEMS WITH APPLICATIONS
https://www.sciencedirect.com/science/article/pii/S0957417422022102

A theoretical demonstration for reinforcement learning of PI control dynamics for optimal speed control of DC motors by using Twin Delay Deep Deterministic Policy Gradient Algorithm

Témata: Deep reinforcement learning, DC motor, PI controller, Twin -delayed deep deterministic policy, gradient, Metaheuristic optimization

URL: http://hdl.handle.net/11012/208567
https://www.sciencedirect.com/science/article/pii/S0957417422022102
EXPERT SYSTEMS WITH APPLICATIONS
https://www.sciencedirect.com/science/article/pii/S0957417422022102

A theoretical demonstration for reinforcement learning of PI control dynamics for optimal speed control of DC motors by using Twin Delay Deep Deterministic Policy Gradient Algorithm

Témata: Deep reinforcement learning, DC motor, PI controller, Twin -delayed deep deterministic policy, gradient, Metaheuristic optimization

URL: http://hdl.handle.net/11012/208567
https://www.sciencedirect.com/science/article/pii/S0957417422022102
EXPERT SYSTEMS WITH APPLICATIONS
https://www.sciencedirect.com/science/article/pii/S0957417422022102

A theoretical demonstration for reinforcement learning of PI control dynamics for optimal speed control of DC motors by using Twin Delay Deep Deterministic Policy Gradient Algorithm

Témata: Deep reinforcement learning, DC motor, PI controller, Twin -delayed deep deterministic policy, gradient, Metaheuristic optimization

URL: http://hdl.handle.net/11012/208567
https://www.sciencedirect.com/science/article/pii/S0957417422022102
EXPERT SYSTEMS WITH APPLICATIONS
https://www.sciencedirect.com/science/article/pii/S0957417422022102

Decentralized Voltage and Var Control of Active Distribution Network Based on Parameter-Sharing Deep Reinforcement Learning

Autoři: Binqiao Zhang Changlin He

Zdroj: IEEE Access, Vol 13, Pp 115090-115101 (2025)

Témata: Voltage and var control (VVC), parameter sharing, deep reinforcement learning, voltage regulation, Electrical engineering. Electronics. Nuclear engineering, twin-delay deep deterministic policy gradient algorithm, TK1-9971

Přístupová URL adresa: https://doaj.org/article/ce8d6e3433394b32a5e987fc1ddde45f

Reducing Estimation Bias via Triplet-Average Deep Deterministic Policy Gradient

Autoři: Dongming Wu Xingping Dong Jianbing Shen a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 31:4933-4945

Témata: triplet networks, Averaging technology, Theory and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, Software Engineering, 02 engineering and technology, estimation bias, Numerical Analysis and Scientific Computing, 01 natural sciences, deep reinforcement learning (DRL), 0105 earth and related environmental sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://ink.library.smu.edu.sg/sis_research/5920
https://pubmed.ncbi.nlm.nih.gov/31940565
https://ieeexplore.ieee.org/abstract/document/8957368
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6923&context=sis_research
https://www.wikidata.org/entity/Q92659975
https://europepmc.org/article/MED/31940565
https://ink.library.smu.edu.sg/sis_research/5920/
https://www.ncbi.nlm.nih.gov/pubmed/31940565

Multi-Fault-Tolerant Operation of Grid-Interfaced Photovoltaic Inverters Using Twin Delayed Deep Deterministic Policy Gradient Agent.

Autoři: Chand, Shyamal S. Hredzak, Branislav Cirrincione, Maurizio

Zdroj: Energies (19961073); Jan2025, Vol. 18 Issue 1, p44, 29p

Témata: REINFORCEMENT learning, MARKOV processes, RENEWABLE energy sources, VOLTAGE, ELECTRICITY

Memory-Enhanced Twin Delayed Deep Deterministic Policy Gradient (ME-TD3)-Based Unmanned Combat Aerial Vehicle Trajectory Planning for Avoiding Radar Detection Threats in Dynamic and Unknown Environments.

Autoři: Li, Jiantao Zhang, Tianxian Liu, Kai

Zdroj: Remote Sensing; Dec2023, Vol. 15 Issue 23, p5494, 25p

Témata: DEEP reinforcement learning, RADAR cross sections, REINFORCEMENT learning, ARMORED military vehicles, RADAR in aeronautics

Bayesian optimization for hyper-parameter tuning of an improved twin delayed deep deterministic policy gradients based energy management strategy for plug-in hybrid electric vehicles.

Autoři: Wang, Jinhai Du, Changqing Yan, Fuwu a další

Zdroj: Applied Energy. Mar2025, Vol. 381, pN.PAG-N.PAG. 1p.

Témata: *REINFORCEMENT learning, *DEEP reinforcement learning, *PLUG-in hybrid electric vehicles, *HYBRID electric vehicles, *INDUSTRIAL efficiency, *ENERGY management

Reducing Estimation Bias via Triplet-Average Deep Deterministic Policy Gradient.

Autoři: Wu, Dongming Dong, Xingping Shen, Jianbing a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Nov2020, Vol. 31 Issue 11, p4933-4945, 13p

Témata: ESTIMATION bias, DETERMINISTIC algorithms, ALGORITHMS, APPROXIMATION error, REINFORCEMENT learning

Voltage Control for DC Microgrids: A Review and Comparative Evaluation of Deep Reinforcement Learning.

Autoři: Muhammad, Sharafadeen Obeid, Hussein Hammou, Abdelilah a další

Zdroj: Energies (19961073); Nov2025, Vol. 18 Issue 21, p5706, 33p

Témata: VOLTAGE control, MICROGRIDS, REINFORCEMENT learning, MATHEMATICAL optimization, SIMULATION methods & models, EMPIRICAL research

An Approach for DC Motor Speed Control with Off-Policy Reinforcement Learning Method

Autoři: Sevilay TÜFENKÇİ Gürkan KAVURAN Celaleddin YEROĞLU

Zdroj: Volume: 11, Issue: 2 184-189
Balkan Journal of Electrical and Computer Engineering

Témata: Computer Software, Yazılım Mimarisi, Software Architecture, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Bilgisayar Yazılımı, Deep reinforcement learning, DC motor, PI controller, Twin-delayed deep deterministic policy gradient

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/bajece/issue/77274/1114868

Deep reinforcement learning based computation offloading for xURLLC services with UAV-assisted IoT-based multi-access edge computing system.

Autoři: Fatima, Nida Saxena, Paresh Giambene, Giovanni

Zdroj: Wireless Networks (10220038); Dec2024, Vol. 30 Issue 9, p7275-7291, 17p

Témata: DEEP reinforcement learning, REINFORCEMENT learning, COMPUTER systems, TELECOMMUNICATION systems, EDGE computing

Deep deterministic policy gradient reinforcement learning for collision-free navigation of mobile robots in unknown environments.

Alternate Title: Mobil robotların bilinmeyen ortamlarda çarpışmasız gezinmesi için derin deterministik politika gradyan takviyeli öğrenme. (Turkish)

Autoři: YILMAZ, Taner AYDOGMUS, Omur

Zdroj: Firat University Journal of Experimental & Computational Engineering (FUJECE); 2023, Vol. 2 Issue 2, p87-96, 10p

Témata: MOBILE robots, REINFORCEMENT learning, ARTIFICIAL intelligence, NAVIGATION, LEARNING, ROBOTS, MACHINE learning

Handling Node Discovery Problem in Fog Computing using Categorical51 Algorithm With Explainability

Autoři: Krishnamurthy, Bhargavi Shiva, Sajjan G. Das, Saikat

Zdroj: Faculty Publications

Témata: Explainability, Fog computing, QoS, QoSec, Trust, Twin Delay Deep Deterministic Policy Gradient, Computer Sciences

Relation: https://digitalcommons.memphis.edu/facpubs/20160; https://doi.org/10.1109/AIIoT58121.2023.10174564

Dostupnost: https://digitalcommons.memphis.edu/facpubs/20160
https://doi.org/10.1109/AIIoT58121.2023.10174564

Cooperative control of velocity and heading for unmanned surface vessel based on twin delayed deep deterministic policy gradient with an integral compensator.

Autoři: Wang, Yibai Zhao, Shulong Wang, Qingling

Zdroj: Ocean Engineering. Nov2023:Part 1, Vol. 288, pN.PAG-N.PAG. 1p.

Témata: *MACHINE learning, *ONLINE education, *VELOCITY, *REINFORCEMENT learning, *DEEP learning, *INTEGRALS

Deposit and withdraw: Reinforcement learning‐based incentive design for shared energy storage.

Autoři: Lu, Xin Zhao, Junhua Qiu, Jing a další

Zdroj: Energy Conversion & Economics; Oct2025, Vol. 6 Issue 5, p308-323, 16p

Témata: REINFORCEMENT learning, ENERGY storage, ENERGY industries, INCENTIVE (Psychology), SIMULATION methods & models

改进式 MATD3 算法及其对抗应用. (Chinese)

Alternate Title: Improved MATD3 algorithm and its adversarial application. (English)

Autoři: 王琨 赵英策 王光耀 a další

Zdroj: Command Control & Simulation / Zhihui Kongzhi yu Fangzhen; Oct2024, Vol. 46 Issue 5, p77-84, 8p

Témata: REINFORCEMENT learning, ARMORED military vehicles, ALGORITHMS, DECISION making, MOTIVATION (Psychology)

Modified Triplet-Average Deep Deterministic Policy Gradient for interpretable neuro-fuzzy deep reinforcement learning.

Autoři: Nguyen, Tuan-Linh Thin, Nguyen Van Lee, Sangmoon

Zdroj: Journal of the Franklin Institute. May2025, Vol. 362 Issue 7, pN.PAG-N.PAG. 1p.

Témata: *DEEP reinforcement learning, *MACHINE learning, *NONLINEAR systems, *FUZZY systems, *ALGORITHMS, *REINFORCEMENT learning

Reinforcement learning algorithm for improving speed response of a five-phase permanent magnet synchronous motor based model predictive control.

Autoři: Hassan, Ahmed M. Ababneh, Jafar Attar, Hani a další

Zdroj: PLoS ONE; 1/3/2025, Vol. 20 Issue 1, p1-27, 27p

Témata: MACHINE learning, METAHEURISTIC algorithms, REINFORCEMENT learning, MATHEMATICAL optimization, TRAFFIC safety