Výsledky vyhledávání - "policy-gradient algorithm"

Decentralized Voltage and Var Control of Active Distribution Network Based on Parameter-Sharing Deep Reinforcement Learning

Autoři: Binqiao Zhang Changlin He

Zdroj: IEEE Access, Vol 13, Pp 115090-115101 (2025)

Témata: Voltage and var control (VVC), parameter sharing, deep reinforcement learning, voltage regulation, Electrical engineering. Electronics. Nuclear engineering, twin-delay deep deterministic policy gradient algorithm, TK1-9971

Přístupová URL adresa: https://doaj.org/article/ce8d6e3433394b32a5e987fc1ddde45f

Reinforcement Learning-Based Real-Time Contrasts Control Chart Using an Adaptive Window Size

Autoři: Kyuchang Chang Seung Hwan Park

Zdroj: IEEE Access, Vol 13, Pp 72077-72086 (2025)

Témata: reinforcement learning, RTC control chart, control chart, Electrical engineering. Electronics. Nuclear engineering, policy-gradient algorithm, adaptive control chart, TK1-9971

Přístupová URL adresa: https://doaj.org/article/7ab696bc8a254bb7aae3a0d71b3082d6

Learning-based control for tendon-driven continuum robotic arms

Autoři: Nima Maghooli Omid Mahdizadeh Mohammad Bajelani a další

Zdroj: Front Robot AI
Frontiers in Robotics and AI, Vol 12 (2025)

Témata: Robotics and AI, FOS: Computer and information sciences, sim-to-real transfer, deep reinforcement learning, tendon-driven continuum robots, QA75.5-76.95, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, deep deterministic policy gradient algorithm, Computer Science - Robotics, Electronic computers. Computer science, TJ1-1570, FOS: Electrical engineering, electronic engineering, information engineering, Mechanical engineering and machinery, optimal adaptive gain-tuning system, Robotics (cs.RO), modified transpose Jacobian

Přístupová URL adresa: http://arxiv.org/abs/2412.04829
https://doaj.org/article/473a3d59e4d448eea4de979d2afd9343

Enhancing Highway Driving: High Automated Vehicle Decision Making in a Complex Multi-Body Simulation Environment

Autoři: Ali Rizehvandi Shahram Azadi Arno Eichberger

Zdroj: Modelling, Vol 5, Iss 3, Pp 951-968 (2024)

Témata: deep deterministic policy gradient algorithm, deep reinforcement learning, Engineering design, TA174, 0502 economics and business, 05 social sciences, highway, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, decision making, carmaker simulator

Přístupová URL adresa: https://doaj.org/article/f71439355fa041a8adbbee9c401e1c6d

Optimization Research on UAV Semantic Communication System Based on SVD-MADRL

Autoři: Yibo Yang Yahe Tan Liu Liu

Zdroj: Drone Systems and Applications, Vol 13, Iss, Pp 1-13 (2025)

Témata: deep deterministic policy gradient algorithm, power optimization, unmanned aerial vehicle, singular value decomposition, TL1-4050, position deployment, Motor vehicles. Aeronautics. Astronautics

Přístupová URL adresa: https://doaj.org/article/83a7660c66a74efe95e5c0a008b65539

Deep Reinforcement Learning in agent-based model AgriPoliS to simulate strategic land market interactions

Autoři: Dong, Changxing Njiru, Ruth Dionisia Gicuku Appel, Franziska

Témata: message queue, Deep Reinforcement Learning, ddc:630, AgriPoliS, policy gradient algorithm, agent-based model

Přístupová URL adresa: https://eceasst.org/index.php/eceasst/article/view/2621
https://hdl.handle.net/10419/312031

DDPG-ADRC-Based Load Frequency Control for Multi-Region Power Systems with Renewable Energy Sources and Energy Storage Equipment

Autoři: Zhenlan Dou Chunyan Zhang Xichao Zhou a další

Zdroj: Energies, Vol 18, Iss 14, p 3610 (2025)

Témata: multi-region interconnected power system, energy storage equipment, load frequency control, first-order active disturbance rejection controller, deep deterministic policy gradient algorithm, Technology

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1996-1073/18/14/3610; https://doaj.org/toc/1996-1073

Přístupová URL adresa: https://doaj.org/article/fd42a92764ce441289778b8fbd2dac7b

Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency

Autoři: Touzani, Samir Prakash, Anand Krishnan Wang, Zhe a další

Zdroj: Applied Energy. 304

Témata: 40 Engineering (for-2020), 4008 Electrical Engineering (for-2020), 7 Affordable and Clean Energy (sdg), Deep reinforcement learning, Deep deterministic policy gradient algorithm, Smart buildings, Control systems, Distributed energy resources, Load flexibility, Energy efficiency, 09 Engineering (for), 14 Economics (for), Energy (science-metrix), 33 Built environment and design (for-2020), 38 Economics (for-2020), 40 Engineering (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/1jr1d7cg
https://escholarship.org/content/qt1jr1d7cg/qt1jr1d7cg.pdf

Learning-Based Variable Admittance Control Combined with NMPC for Contact Force Tracking in Unknown Environments

Autoři: Yikun Zhang Jianjun Yao Chen Qian

Zdroj: Actuators, Vol 14, Iss 7, p 323 (2025)

Témata: contact force tracking, variable admittance control, deterministic policy gradient algorithm, nonlinear model predictive control, Materials of engineering and construction. Mechanics of materials, TA401-492, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-0825/14/7/323; https://doaj.org/toc/2076-0825

Přístupová URL adresa: https://doaj.org/article/3642caaab478494b80e39aa24f0d4513

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

Autoři: Changdong YU Xinyang LIU Cong CHEN a další

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

Témata: 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 souboru: electronic resource

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

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

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

Autoři: Jiawen Li Jian Geng Tao Yu

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

Témata: 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

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

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

Deep Reinforcement Learning-based Trajectory Planning for Manipulator Obstacle Avoidance

Autoři: Cao Yi Guo Yinhui Li Lei a další

Zdroj: Jixie chuandong, Vol 47, Pp 40-46 (2023)

Témata: Manipulator, Deep reinforcement learning, Obstacle avoidance path planning, Deep deterministic policy gradient algorithm, Mechanical engineering and machinery, TJ1-1570

Popis souboru: electronic resource

Relation: http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2023.12.006; https://doaj.org/toc/1004-2539

Přístupová URL adresa: https://doaj.org/article/05a37baed57949dca57c4127b3a77bf0

Gradient Ascent Activity-based Credit Assignment with History-dependent Reward

Autoři: Sabri, Oussama Lehéricy, Luc Muzy, Alexandre a další

Přispěvatelé: Sabri, Oussama Lehéricy, Luc Muzy, Alexandre a další

Zdroj: 17th IEEE International Conference on Brain Informatics (BI 2024) - Brain Science meets Artificial Intelligence
https://hal.science/hal-04695306
17th IEEE International Conference on Brain Informatics (BI 2024) - Brain Science meets Artificial Intelligence, Dec 2024, Bangkok, Thailand. ⟨10.1007/978-981-96-3294-7_33⟩

Témata: Credit assignment, Policy gradient algorithm, Non-Markovian rewards, [INFO]Computer Science [cs]

Geografické téma: Bangkok, Thailand

Dostupnost: https://hal.science/hal-04695306
https://hal.science/hal-04695306v1/document
https://hal.science/hal-04695306v1/file/GAtACA.pdf
https://doi.org/10.1007/978-981-96-3294-7_33

Multi-agent sequential learning via gradient ascent credit assignment

Autoři: Sabri, Oussama Lehéricy, Luc Muzy, Alexandre a další

Přispěvatelé: Sabri, Oussama Lehéricy, Luc Muzy, Alexandre a další

Zdroj: 8th International Conference on Computer Science and Artificial Intelligence (CSAI 2024)
https://hal.science/hal-04629461
8th International Conference on Computer Science and Artificial Intelligence (CSAI 2024), Dec 2024, Beijing, China. pp.526-536, ⟨10.1145/3709026.3709090⟩

Témata: Credit assignment ⋅ Multi-agent sequential learning ⋅ Policy gradient algorithm, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]

Geografické téma: Beijing, China

Dostupnost: https://hal.science/hal-04629461
https://hal.science/hal-04629461v2/document
https://hal.science/hal-04629461v2/file/GAtACA-Series.pdf
https://doi.org/10.1145/3709026.3709090

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

Autoři: Ting Qian Cheng Yang

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

Témata: 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

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

Experimental Research on the Correction of Vortex Light Wavefront Distortion

Autoři: Yahang Ge Xizheng Ke

Zdroj: Photonics, Vol 11, Iss 12, p 1116 (2024)

Témata: vortex light, wavefront correction, atmospheric turbulence, deep deterministic policy gradient algorithm, Applied optics. Photonics, TA1501-1820

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2304-6732/11/12/1116; https://doaj.org/toc/2304-6732

Přístupová URL adresa: https://doaj.org/article/c902a9bee6da4ce6a7de443998f116c0

Deep Deterministic Policy Gradient Algorithm Based Wind-Photovoltaic-Storage Hybrid System Joint Dispatch

Autoři: Shuxing ZHANG Chi MA Zhixue YANG a další

Zdroj: Zhongguo dianli, Vol 56, Iss 2, Pp 68-76 (2023)

Témata: wind-photovoltaic-storage hybrid system, joint scheduling strategy, uncertainty, deep reinforcement learning, deep deterministic policy gradient algorithm, Electricity, QC501-721, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis souboru: electronic resource

Relation: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202107065; https://doaj.org/toc/1004-9649

Přístupová URL adresa: https://doaj.org/article/3f6cb4e5fa2d47139a3c84e500922893

Adaptive Control of Ships’ Oil-Fired Boilers Using Flame Image-Based IMC-PID and Deep Reinforcement Learning

Autoři: Chang-Min Lee Byung-Gun Jung

Zdroj: Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1603 (2024)

Témata: combustion control, emission prediction, IMC-based PID, real-time control, image-based control, deep deterministic policy gradient algorithm, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581

Relation: https://www.mdpi.com/2077-1312/12/9/1603; https://doaj.org/toc/2077-1312; https://doaj.org/article/33b1ca9297fd4aea8480f40a09d8e92a

Dostupnost: https://doi.org/10.3390/jmse12091603
https://doaj.org/article/33b1ca9297fd4aea8480f40a09d8e92a

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