Search Results - 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

Authors: Jun Li Hanping Xiao Zhixiong Liu

Source: Engineering Optimization. :1-24

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

Authors: Lipeng Hu Jinjun Tang Guoqing Zou et al.

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

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

Access URL: https://doaj.org/article/1e503378295644f3a614e59f62485d87

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

Authors: Ghamari, Seyyed Morteza Habibi, Daryoush Aziz, Asma

Source: Research outputs 2022 to 2026

Index Terms: deep deterministic policy gradient, dual active bridge converter, fractional-order concept, Hardware-in-Loop, multi-agent, reinforcement learning technique, Electrical and Computer Engineering, Engineering, text

URL: https://ro.ecu.edu.au/ecuworks2022-2026/6501

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

Authors: Bohan Xu Yue Xiang

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

Subject Terms: 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

Access URL: 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

Authors: Seyyed Morteza Ghamari Daryoush Habibi Asma Aziz

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

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

Access URL: https://doaj.org/article/4d16de7de27346aa8f77b5ab4879ecc3

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

Authors: Xingping ZHANG Teng WANG Xinyue ZHANG et al.

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

Subject Terms: 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

Access URL: https://doaj.org/article/dda079690fa440599c01a92a2ea2ec4b

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

Authors: Huang, Wanwei Liu, Hongchang Li, Yingying et al.

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

Subject Terms: 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

Authors: Wei Li Xin Chen Wei Yu et al.

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

Subject Terms: 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.

Authors: Kuang, Shi Zheng, Jinyu Liang, Shilin et al.

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

Subject Terms: *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

Authors: Jianfeng Ye Qing Wang Bei Ma et al.

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

Subject Terms: 0209 industrial biotechnology, 02 engineering and technology

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

Authors: Xiaoying Sun Jinchao Chen Chenglie Du et al.

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

Subject Terms: 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

Authors: Genhong Qi Lingxiao Fu Meng Wang et al.

Source: 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

Authors: Dunnan Liu Yuan Gao Weiye Wang et al.

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

Subject Terms: 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

Access URL: 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

Authors: Qiong Huang Ying Si Haoyu Wang

Source: 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.

Authors: Hu, Lipeng Tang, Jinjun Zou, Guoqing et al.

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

Subject Terms: 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

Authors: Junsong Lu Zongsheng Wang Kang Pan et al.

Source: 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

Authors: Yuzheng Jiang Jun Dong Hexiang Huang

Source: Energy. 306:132388

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

Authors: Shangfei Zheng Hong Liu

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

Subject Terms: 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

Access URL: 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

Authors: Leixin Xu Weibin Chen Xiang Liu et al.

Source: 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

Authors: Haining Ma Huifeng Zhang Ding Tian et al.

Source: Engineering Applications of Artificial Intelligence. 133:108012