Výsledky vyhledávání - "DQN algorithm"

Improved double DQN with deep reinforcement learning for UAV indoor autonomous obstacle avoidance

Autoři: Ruiqi Yu Qingdang Li Jiewei Ji a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Témata: UAV, Indoor autonomous obstacle avoidance, Deep reinforcement learning, Double DQN algorithm, Dynamic exploration strategy, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/66b2ee2b4f5c4aee86ec16e117e0fa32

DQN Simulation Model of Green Cooperative Market Behavior of Multi-Load Users for Optimal Evolution of New-Type Power System

Autoři: ZHANG Shuo, YUAN Chunhui, LI Yingzi, XIAO Yangming, WEI Ming, HE Yunzheng

Zdroj: Dianli jianshe, Vol 46, Iss 7, Pp 191-204 (2025)

Témata: multiple loads, green collaborative behavior, deep q netwsrk（dqn） algorithm, electricity market trading simulation, Science, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis souboru: electronic resource

Relation: https://www.cepc.com.cn/fileup/1000-7229/PDF/1750819652404-1840121106.pdf; https://doaj.org/toc/1000-7229

Přístupová URL adresa: https://doaj.org/article/59c1516cd11e48b89d3f0696edfc03f6

A heuristic-assisted deep reinforcement learning algorithm for flexible job shop scheduling with transport constraints

Autoři: Xiaoting Dong Guangxi Wan Peng Zeng

Zdroj: Complex & Intelligent Systems, Vol 11, Iss 5, Pp 1-21 (2025)

Témata: Flexible manufacturing system, Cooperative scheduling of machines and AGVs, Markov decision process, Heuristic-assisted DQN algorithm, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053

Přístupová URL adresa: https://doaj.org/article/e1c1fcc1e9cf4d9a898471cb3e3dd54d

Windows Domain Penetration Testing Attack Path Generation Based on Deep Reinforcement Learning

Autoři: HUO Xingpeng, SHA Letian, LIU Jianwen, WU Shang, SU Ziyue

Zdroj: Jisuanji kexue, Vol 52, Iss 3, Pp 400-406 (2025)

Témata: penetration testing, windows domain, deep reinforcement learning, dqn algorithm, attack path, Computer software, QA76.75-76.765, Technology (General), T1-995

Popis souboru: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2025-52-3-400.pdf; https://doaj.org/toc/1002-137X

Přístupová URL adresa: https://doaj.org/article/55f5568aea264f58bb150e07097ad8b3

Ship global path planning based on improved DQN algorithm

Autoři: Wei GUAN Sheng QU Xianku ZHANG a další

Zdroj: Zhongguo Jianchuan Yanjiu, Vol 20, Iss 1, Pp 107-114 (2025)

Témata: ships, motion planning, dqn algorithm, prioritized experience replay (per), Naval architecture. Shipbuilding. Marine engineering, VM1-989

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1673-3185

Přístupová URL adresa: https://doaj.org/article/b7dc4735277e4b0da221332fc36447b1

Research on Energy-Saving and Efficiency-Improving Optimization of a Four-Way Shuttle-Based Dense Three-Dimensional Warehouse System Based on Two-Stage Deep Reinforcement Learning

Autoři: Yang Xiang Xingyu Jin Kaiqian Lei a další

Zdroj: Applied Sciences, Vol 15, Iss 21, p 11367 (2025)

Témata: four-way shuttle-based warehouse system, path planning, A*-DQN algorithm, task scheduling, IGA-MADDPG algorithm, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/21/11367; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/4735efa7500341728858d739f53034d1

Improved Q-Learning-Based Motion Control for Basketball Intelligent Robots Under Multi-Sensor Data Fusion

Autoři: Jianping Lan Xiujuan Dong

Zdroj: IEEE Access, Vol 12, Pp 57059-57070 (2024)

Témata: 0209 industrial biotechnology, Q-learning algorithm, Multi-sensor data fusion, motion control, basketball robot, 0202 electrical engineering, electronic engineering, information engineering, DQN algorithm, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Přístupová URL adresa: https://doaj.org/article/13f7c468f6ed4ceaac24ea6812efb116

Deep Reinforcement Learning for Real-Time Airport Emergency Evacuation Using Asynchronous Advantage Actor–Critic (A3C) Algorithm

Autoři: Yujing Zhou Yupeng Yang Bill Deng Pan a další

Zdroj: Mathematics, Vol 13, Iss 14, p 2269 (2025)

Témata: emergency evacuation, aviation safety, reinforcement learning, A3C algorithm, DQN algorithm, airport simulation, Mathematics, QA1-939

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2227-7390/13/14/2269; https://doaj.org/toc/2227-7390

Přístupová URL adresa: https://doaj.org/article/e5c42202e61f495ab271a4fa63293f85

A cooperative coverage path planning method for multiple USVs with dynamic collision avoidance using heuristic fusion and deep reinforcement learning

Autoři: Shixiong Wang Enjiao Zhao Liang Yi

Zdroj: International Journal of Naval Architecture and Ocean Engineering, Vol 17, Iss , Pp 100695- (2025)

Témata: Multi-USVs, Area coverage, Heuristic algorithm, Dynamic collision avoidance, DQN algorithm, Ocean engineering, TC1501-1800, Naval architecture. Shipbuilding. Marine engineering, VM1-989

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2092678225000536; https://doaj.org/toc/2092-6782

Přístupová URL adresa: https://doaj.org/article/f359c713fb014578900c2a97c77e349b

A Novel Reactive Power Sharing Control Strategy for Shipboard Microgrids Based on Deep Reinforcement Learning

Autoři: Wangyang Li Hong Zhao Jingwei Zhu a další

Zdroj: Journal of Marine Science and Engineering ; Volume 13 ; Issue 4 ; Pages: 718

Témata: deep reinforcement learning, DQN algorithm, droop control strategy, microgrid control, reactive power sharing

Geografické téma: agris

Popis souboru: application/pdf

Relation: Ocean Engineering; https://dx.doi.org/10.3390/jmse13040718

Dostupnost: https://doi.org/10.3390/jmse13040718

Unmanned Aerial Vehicle Path Planning in Complex Dynamic Environments Based on Deep Reinforcement Learning

Autoři: Jiandong Liu Wei Luo Guoqing Zhang a další

Zdroj: Machines ; Volume 13 ; Issue 2 ; Pages: 162

Témata: UAV obstacle avoidance, artificial potential field, dynamic environment, DQN algorithm, Yolov8

Popis souboru: application/pdf

Relation: Automation and Control Systems; https://dx.doi.org/10.3390/machines13020162

Dostupnost: https://doi.org/10.3390/machines13020162

Firepower-target assignment method based on deep reinforcement learning algorithm

Autoři: LI Weiguang, CHEN Dong

Zdroj: Zhihui kongzhi yu fangzhen, Vol 46, Iss 3, Pp 62-69 (2024)

Témata: firepower-target assignment, deep reinforcement learning, q-learning algorithm, dqn algorithm, Military Science

Popis souboru: electronic resource

Relation: https://www.zhkzyfz.cn/fileup/1673-3819/PDF/1717030817085-760587613.pdf; https://doaj.org/toc/1673-3819

Přístupová URL adresa: https://doaj.org/article/1d9e1746d40f44e19ef42acb3797af00

Research on ATO Control Method for Urban Rail Based on Deep Reinforcement Learning

Autoři: Xiaoqiang Chen Xiao Guo Jianjun Meng a další

Zdroj: IEEE Access, Vol 11, Pp 5919-5928 (2023)

Témata: multi-objective optimization, automatic driving, Urban rail train, 0502 economics and business, 05 social sciences, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, DQN algorithm, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Přístupová URL adresa: https://doaj.org/article/0a94c05180c04beaa95b159bbcde93db

A novel fault-tolerant scheduling approach for collaborative workflows in an edge-IoT environment

Autoři: Tingyan Long Yong Ma Lei Wu a další

Zdroj: Digital Communications and Networks, Vol 8, Iss 6, Pp 911-922 (2022)

Témata: Primary-backup model, 0202 electrical engineering, electronic engineering, information engineering, Fault tolerance, DQN algorithm, Edge computing, Information technology, 02 engineering and technology, T58.5-58.64

Přístupová URL adresa: https://doaj.org/article/e9b22bfa826a44908ca95d0dc8d3224a

Robot Path Planning Based on Improved DQN Algorithm

Autoři: Qiru LI, Xia GENG

Zdroj: Jisuanji gongcheng, Vol 49, Iss 12, Pp 111-120 (2023)

Témata: deep q network(dqn) algorithm, path planning, deep reinforcement learning(dql), exploration of state, reward function, obstacle avoidance, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20231213.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/4a20bda1f60842f88a26b1d0c1218728

Fault-tolerant control system for once-through steam generator based on reinforcement learning algorithm

Autoři: Cheng Li Ren Yu Wenmin Yu a další

Zdroj: Nuclear Engineering and Technology, Vol 54, Iss 9, Pp 3283-3292 (2022)

Témata: Incremental action, Once-through steam generator, Reinforcement learning, TK9001-9401, 0202 electrical engineering, electronic engineering, information engineering, Nuclear engineering. Atomic power, DQN algorithm, 02 engineering and technology

Přístupová URL adresa: https://doaj.org/article/e4e28172ccee48b0a7e415166989be9b

Intelligent Attack Path Discovery Based on Hierarchical Reinforcement Learning

Autoři: ZENG Qingwei, ZHANG Guomin, XING Changyou, SONG Lihua

Zdroj: Jisuanji kexue, Vol 50, Iss 7, Pp 308-316 (2023)

Témata: penetration testing, markov decision process, hierarchical reinforcement learning, attack path discovery, dqn algorithm, Computer software, QA76.75-76.765, Technology (General), T1-995

Popis souboru: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-7-308.pdf; https://doaj.org/toc/1002-137X

Přístupová URL adresa: https://doaj.org/article/6cb6958570cc4ad495a3b9cc5e4efe5c

A multi-stage coordinated cyber-physical topology attack method based on deep reinforcement learning

Autoři: YI Na XU Jianjun CHEN Yue a další

Zdroj: 电力工程技术, Vol 42, Iss 4, Pp 149-158 (2023)

Témata: cyber physical system (cps), coordinated cyber physical attack (ccpa), topology attack, load redistribution attack, deep reinforcement learning (drl), deep q-network (dqn) algorithm, Applications of electric power, TK4001-4102

Popis souboru: electronic resource

Relation: https://www.epet-info.com/dlgcjsen/article/abstract/221111589; https://doaj.org/toc/2096-3203

Přístupová URL adresa: https://doaj.org/article/2cead1266b894f65828cd6c9954401c2

Deep reinforcement learning implementation on IC engine idle speed control

Autoři: Ibrahim Omran Ahmed Mostafa Ahmed Seddik a další

Zdroj: Ain Shams Engineering Journal, Vol 15, Iss 5, Pp 102670- (2024)

Témata: Engine idle speed control, Reinforcement learning, DQN algorithm, Engine model, PID, Fuel economy, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2090447924000455; https://doaj.org/toc/2090-4479

Přístupová URL adresa: https://doaj.org/article/52954f7d850d4c9ab71380d7dbb0851a

Multi-robot task allocation in e-commerce RMFS based on deep reinforcement learning

Autoři: Ruiping Yuan Jiangtao Dou Juntao Li a další

Zdroj: Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 1903-1918 (2023)

Témata: 0209 industrial biotechnology, deep reinforcement learning, improved dqn algorithm, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, markov decision process, multi-agent modeling, 02 engineering and technology, multi robot task allocation, TP248.13-248.65, Mathematics, Biotechnology

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36899514
https://doaj.org/article/d4ba5b2dc2894c268edd023bd87f30e1