Výsledky vyhledávání - multi-agent deep deterministic policy gradient algorithm

A multi-agent deep deterministic policy gradient algorithm integrated with the A* algorithm for multiple-equipment integrated scheduling in automated container terminals

Autoři: Jun Li Hanping Xiao Zhixiong Liu

Zdroj: Engineering Optimization. :1-24

Simulation optimization of highway hard shoulder running based on multi-agent deep deterministic policy gradient algorithm

Autoři: Lipeng Hu Jinjun Tang Guoqing Zou a další

Zdroj: Alexandria Engineering Journal, Vol 117, Iss, Pp 99-115 (2025)

Témata: MADDPG, SUMO, Spatial-temporal constrains, Highway, TA1-2040, Hard Shoulder Running, Engineering (General). Civil engineering (General)

Přístupová URL adresa: https://doaj.org/article/1e503378295644f3a614e59f62485d87

Optimal operation of regional integrated energy system based on multi-agent deep deterministic policy gradient algorithm

Autoři: Bohan Xu Yue Xiang

Zdroj: Energy Reports, Vol 8, Iss, Pp 932-939 (2022)

Témata: Deep deterministic policy gradient algorithm, Multi-agent scheduling, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Integrated energy system, 7. Clean energy, TK1-9971

Přístupová URL adresa: https://doaj.org/article/0cba414a36bd47729997298702948607

Robust Adaptive Fractional-Order PID Controller Design for High-Power DC-DC Dual Active Bridge Converter Enhanced Using Multi-Agent Deep Deterministic Policy Gradient Algorithm for Electric Vehicles

Autoři: Seyyed Morteza Ghamari Daryoush Habibi Asma Aziz

Zdroj: Energies, Vol 18, Iss 12, p 3046 (2025)

Témata: reinforcement learning technique, Technology, fractional-order concept, deep deterministic policy gradient, multi-agent, dual active bridge converter, Hardware-in-Loop

Přístupová URL adresa: https://doaj.org/article/4d16de7de27346aa8f77b5ab4879ecc3

Bidding Strategy for Thermal Power Generation Companies Based on Multi-agent Deep Deterministic Policy Gradient Algorithm

Autoři: Xingping ZHANG Teng WANG Xinyue ZHANG a další

Zdroj: Zhongguo dianli, Vol 57, Iss 11, Pp 161-172 (2024)

Témata: QC501-721, TK1001-1841, Production of electric energy or power. Powerplants. Central stations, Electricity, multi-agent, bidding strategy, thermal power generation companies, new energy penetration, clearing mechanism

Přístupová URL adresa: https://doaj.org/article/dda079690fa440599c01a92a2ea2ec4b

ERA-MADDPG: An Elastic Routing Algorithm Based on Multi-Agent Deep Deterministic Policy Gradient in SDN.

Autoři: Huang, Wanwei Liu, Hongchang Li, Yingying a další

Zdroj: Future Internet. Jul2025, Vol. 17 Issue 7, p291. 20p.

Témata: Software-defined networking, Reinforcement learning, Convolutional neural networks, Adaptive control systems, Routing algorithms, Adaptive routing (Computer network management)

Multiple unmanned aerial vehicle coordinated strikes against ground targets based on an improved multi-agent deep deterministic policy gradient algorithm

Autoři: Wei Li Xin Chen Wei Yu a další

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering.

Témata: 0203 mechanical engineering, 0103 physical sciences, 02 engineering and technology, 01 natural sciences

RS-MADDPG: Routing Strategy Based on Multi-Agent Deep Deterministic Policy Gradient for Differentiated QoS Services.

Autoři: Kuang, Shi Zheng, Jinyu Liang, Shilin a další

Zdroj: Future Internet. Sep2025, Vol. 17 Issue 9, p393. 20p.

Témata: *Quantitative research, Quality of service, Adaptive routing (Computer network management), Routing algorithms, Software-defined networking, Multiagent systems, Reinforcement learning

A Pursuit Strategy for Multi-Agent Pursuit-Evasion Game via Multi-Agent Deep Deterministic Policy Gradient Algorithm

Autoři: Jianfeng Ye Qing Wang Bei Ma a další

Zdroj: 2022 IEEE International Conference on Unmanned Systems (ICUS). :418-423

Témata: 0209 industrial biotechnology, 02 engineering and technology

Multi-Agent Deep Deterministic Policy Gradient Algorithm Based on Classification Experience Replay

Autoři: Xiaoying Sun Jinchao Chen Chenglie Du a další

Zdroj: 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ). :988-992

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

Multi-Microgrid Energy Trading Strategy Based on Multi-Agent Deep Deterministic Policy Gradient Algorithm

Autoři: Genhong Qi Lingxiao Fu Meng Wang a další

Zdroj: Applied Mathematics and Nonlinear Sciences. 9

Research on Bidding Strategy of Thermal Power Companies in Electricity Market Based on Multi-Agent Deep Deterministic Policy Gradient

Autoři: Dunnan Liu Yuan Gao Weiye Wang a další

Zdroj: IEEE Access, Vol 9, Pp 81750-81764 (2021)

Témata: Electricity market, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, bidding strategy, multi agent reinforcement learning, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, multi agent deep deterministic policy gradient algorithm, TK1-9971

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09446123.pdf
https://doaj.org/article/57f1a38b0f7d4f5082a6babe7ee878ae
https://ieeexplore.ieee.org/document/9446123/
https://dblp.uni-trier.de/db/journals/access/access9.html#LiuGWD21

Fire Evacuation Path Planning Based on Improved MADDPG (Multi-Agent Deep Deterministic Policy Gradient) Algorithm

Autoři: Qiong Huang Ying Si Haoyu Wang

Zdroj: International Journal of Advanced Computer Science and Applications. 15

Simulation optimization of highway hard shoulder running based on multi-agent deep deterministic policy gradient algorithm.

Autoři: Hu, Lipeng Tang, Jinjun Zou, Guoqing a další

Zdroj: Alexandria Engineering Journal. Apr2025, Vol. 117, p99-115. 17p.

Témata: Travel time (Traffic engineering), Carbon emissions, Traffic congestion, Reinforcement learning, Environmental protection, Intelligent transportation systems

Research on the influence of multi-agent deep deterministic policy gradient algorithm key parameters in typical scenarios

Autoři: Junsong Lu Zongsheng Wang Kang Pan a další

Zdroj: Journal of Physics: Conference Series. 2858:012037

Optimal bidding strategy for the price-maker virtual power plant in the day-ahead market based on multi-agent twin delayed deep deterministic policy gradient algorithm

Autoři: Yuzheng Jiang Jun Dong Hexiang Huang

Zdroj: Energy. 306:132388

Improved Multi-Agent Deep Deterministic Policy Gradient for Path Planning-Based Crowd Simulation

Autoři: Shangfei Zheng Hong Liu

Zdroj: IEEE Access, Vol 7, Pp 147755-147770 (2019)

Témata: Deep reinforcement learning, improved multi-agent deep deterministic policy gradient algorithm, multi-agent reinforcement learning, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, crowd simulation for evacuation, path planning, TK1-9971

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08865095.pdf
https://doaj.org/article/f1c103a658d8479f943e594a29828bd1
https://dblp.uni-trier.de/db/journals/access/access7.html#ZhengL19
https://ieeexplore.ieee.org/abstract/document/8865095

MADDPG: Multi-agent Deep Deterministic Policy Gradient Algorithm for Formation Elliptical Encirclement and Collision Avoidance

Autoři: Leixin Xu Weibin Chen Xiang Liu a další

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789811939976

Optimal demand response based dynamic pricing strategy via Multi-Agent Federated Twin Delayed Deep Deterministic policy gradient algorithm

Autoři: Haining Ma Huifeng Zhang Ding Tian a další

Zdroj: Engineering Applications of Artificial Intelligence. 133:108012

A Q-Learning-based Deep Deterministic Policy Gradient Algorithm for the Re-entrant Hybrid Flow Shop Joint Scheduling Problem with Dual-gripper.

Autoři: Jiajia Wang Hongming Zhou Jian Guo a další

Zdroj: Engineering Letters. May2025, Vol. 33 Issue 5, p1632-1647. 16p.

Témata: *FLOW shop scheduling, *FLOW shops, *MULTIAGENT systems, *PRODUCTION scheduling, *MATHEMATICAL models, *MANUFACTURING workstations