Výsledky vyhľadávania - "multi-agent deep deterministic policy gradient algorithm"

Research on Game Confrontation of Unmanned Surface Vehicles Swarm Based on Multi-Agent Deep Reinforcement Learning

Autori: Changdong YU Xinyang LIU Cong CHEN a ďalší

Zdroj: 水下无人系统学报, Vol 32, Iss 1, Pp 79-86 (2024)

Predmety: unmanned surface vehicle swarm, multi-agent deep deterministic policy gradient algorithm, deep reinforcement learning, intelligent decision-making, game confrontation, Naval architecture. Shipbuilding. Marine engineering, VM1-989

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2096-3920

Prístupová URL adresa: https://doaj.org/article/018c9e6c89c14515a342b69917ebb237

Grid-area coordinated load frequency control strategy using large-scale multi-agent deep reinforcement learning

Autori: Jiawen Li Jian Geng Tao Yu

Zdroj: Energy Reports, Vol 8, Iss, Pp 255-274 (2022)

Predmety: Deep reinforcement learning, Multi-agent deep deterministic policy gradient algorithm, Load frequency control, Performance-based frequency regulation market mechanism, Interconnected power grid, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Grid-area coordinated load frequency control strategy, TK1-9971

Prístupová URL adresa: https://doaj.org/article/3057b574c2604d1f99d1a8bdd951312c

Large-scale deep reinforcement learning method for energy management of power supply units considering regulation mileage payment

Autori: Ting Qian Cheng Yang

Zdroj: Frontiers in Energy Research, Vol 11 (2024)

Predmety: frequency regulation mileage payment, China Southern Grid, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, optimal coordinated control, 02 engineering and technology, 7. Clean energy, automatic generation control, multi-agent deep deterministic policy gradient algorithm, General Works

Prístupová URL adresa: https://doaj.org/article/b9e0c8a861644655aca927e18ffa6d6e

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

Autori: Dunnan Liu Yuan Gao Weiye Wang a ďalší

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

Predmety: 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

Prístupová 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

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

Autori: Shangfei Zheng Hong Liu

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

Predmety: 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

Prístupová 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

Table1_Large-scale deep reinforcement learning method for energy management of power supply units considering regulation mileage payment.XLSX

Autori: Ting Qian Cheng Yang

Predmety: Nuclear Engineering, Carbon Sequestration Science, Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels), Carbon Capture Engineering (excl. Sequestration), Non-automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels), Chemical Engineering not elsewhere classified, Power and Energy Systems Engineering (excl. Renewable Power), Renewable Power and Energy Systems Engineering (excl. Solar Cells), Energy Generation, Conversion and Storage Engineering, Nuclear Engineering (incl. Fuel Enrichment and Waste Processing and Storage), Chemical Sciences not elsewhere classified, automatic generation control, multi-agent deep deterministic policy gradient algorithm, optimal coordinated control, frequency regulation mileage payment, China Southern Grid

Dostupnosť: https://doi.org/10.3389/fenrg.2023.1333827.s001
https://figshare.com/articles/dataset/Table1_Large-scale_deep_reinforcement_learning_method_for_energy_management_of_power_supply_units_considering_regulation_mileage_payment_XLSX/25405285