Search Results - "Deep Q-learning algorithm"

A Deep Q-Learning Algorithm With Guaranteed Convergence for Distributed and Uncoordinated Operation of Cognitive Radios

Authors: Ankita Tondwalkar Andres Kwasinski

Source: IEEE Access, Vol 13, Pp 19678-19693 (2025)

Subject Terms: Cognitive radios, uncoordinated multi-agent deep Q-learning, underlay dynamic spectrum access and sharing, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Access URL: https://doaj.org/article/560b5f47f6c74352a1cd09e0de0afeee

Task offloading method of edge computing in IoT based on Deep Q Learning Algorithm

Authors: Zhenzhen Dong Mingjian Zhang

Source: Journal of Information and Telecommunication, Pp 1-16 (2025)

Subject Terms: DDQN, IoT, edge computing, SDN, architecture design, task offloading, Telecommunication, TK5101-6720, Information technology, T58.5-58.64

File Description: electronic resource

Relation: https://doaj.org/toc/2475-1839; https://doaj.org/toc/2475-1847

Access URL: https://doaj.org/article/65f06f6b9a9b4a13b5f528d002e59a13

Utilization of Force Sensor and Deep Q-Learning Algorithm in Object Grasping Simulation Identified by Mask R-CNN

Authors: Adhan Efendi Yu-Hsiang Shao Chih-Yung Huang

Source: 2024 IEEE 7th International Conference on Electrical, Electronics and System Engineering (ICEESE). :1-5

Particle Swarm Optimization on Deep Q-Learning Algorithm for Disaster Backup Transmission in Data Center Networks

Authors: Lin He Jiayuan Hu Hao Liu et al.

Source: 2024 Asia Communications and Photonics Conference (ACP) and International Conference on Information Photonics and Optical Communications (IPOC). :1-5

Multi-agent Deep Q-Learning Algorithm Integrated with Ant Colony Optimization for Solving Dynamic Feeder Vehicle Routing Problem

Authors: Yuan-ji Ming Qing-xia Shang Bin Qian et al.

Source: Lecture Notes in Computer Science ISBN: 9789819699001

Optimizing Total Service Time for Incoming Parallel Requests Using a Hybrid Deep Q-Learning Algorithm in Mobile Edge Computing

Authors: Yildiz Ö. Sokullu R.

Source: 2023 31st Telecommunications Forum (TELFOR). :1-4

Subject Terms: cellular network, deep q-learning, resource allocation, mobile edge computing

Dynamic Scheduling of Four-Way Shuttles Based on Improved Deep Q-Learning Algorithm

Authors: Xuemei Wang Shunran Song Yanyan Wang et al.

Source: 13th International Conference on Logistics and Systems Engineering 2024. :24-31

Reinforcement Learning-Based Traffic Light Control Using a Clipped Double Deep Q-Learning Algorithm

Authors: Yanzhao Jia Jianlin Lu Daniel Görges

Source: Advances in Transdisciplinary Engineering ISBN: 9781643685601

Advancing Power Supply Resilience: Optimized Transmission Line Retrofitting Through Deep Q-Learning Algorithm

Authors: Lin Liu Tianjian Wang Xiuchao Zhu et al.

Source: Energies. 18:4335

A novel carbon reduction engineering method-based deep Q-learning algorithm for energy-efficient scheduling on a single batch-processing machine in semiconductor manufacturing

Authors: Kong, Min Wang, Weizhong Deveci, Muhammet et al.

Source: International Journal of Production Research. 62:6449-6472

Subject Terms: Parallel Batch Scheduling, Semiconductor manufacturing, Deep Reinforcement Learning, Less is More, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Carbon reduction engineering, 7. Clean energy

Access URL: https://discovery-pp.ucl.ac.uk/id/eprint/10176967/

Self-Autonomous Car Simulation Using Deep Q-Learning Algorithm

Authors: Harsh Soni Ruchi Vyas Kamal K. Hiran

Source: 2022 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT). :1-4

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A Modified Deep Q-Learning Algorithm for Optimal and Robust Quantum Gate Design of a Single Qubit System

Authors: Omar Shindi Qi Yu Parth Girdhar et al.

Source: 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). :2116-2122

Subject Terms: 0103 physical sciences, 01 natural sciences

Optimal Index Selection Using Optimized Deep Q-Learning Algorithm for NoSQL Database

Authors: V. Sumalatha Suresh Pabboju

Source: SN Computer Science. 5

A Study Regarding Deep Q-Learning Algorithm for Creating Intelligent Characters in a Graphic Engine

Authors: Ionut Cristian Resceanu Robert Vlad Iacov Virginia Radulescu et al.

Source: 2022 23rd International Carpathian Control Conference (ICCC). :130-135

Robot Training and Navigation through the Deep Q-Learning Algorithm

Authors: Vicente Ferreira de Lucena Vandermi João da Silva Carlos Alberto Oliveira de Freitas et al.

Source: 2021 IEEE International Conference on Consumer Electronics (ICCE). :1-6

Subject Terms: 0209 industrial biotechnology, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/iccel/icce2021.html#LemosSLFSL21

A Search and Matching Model of Intersectoral Labor Mobility With an Extension of a Deep Q-learning Algorithm

Authors: Miquel Noguer i Alonso Fernando Arias

Source: SSRN Electronic Journal.

A Modified Deep Q-Learning Algorithm for Control of Two-qubit Systems

Authors: Omar Shindi Qi Yu Daoyi Dong

Source: 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). :3454-3459

Subject Terms: 0103 physical sciences, 01 natural sciences

Robot Navigation through the Deep Q-Learning Algorithm

Authors: Madson Rodrigues Lemos Anne Vitoria Rodrigues de Souza Renato Souza de Lira et al.

Source: International Journal of Advanced Engineering Research and Science. 8:274-279

Subject Terms: 0209 industrial biotechnology, 02 engineering and technology

Access URL: https://ijaers.com/detail/robot-navigation-through-the-deep-q-learning-algorithm/

Path Planning of UAV Using Step-wise Deep Q-learning Algorithm

Authors: Qijia Gu Zhen An Lanmin Chen et al.

Source: 2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC). :295-297

Subject Terms: 0209 industrial biotechnology, 02 engineering and technology

Multi-objective optimization of cloud task scheduling based on improved deep Q-learning algorithm

Authors: Zongru Li Peiqi Guan Yanqiao Dong et al.

Subject Terms: 7. Clean energy