Výsledky vyhľadávania - "policy-gradient algorithm"

Logistics-involved service composition in a dynamic cloud manufacturing environment: A DDPG-based approach Autor Liu, Yongkui, Liang, Huagang, Xiao, Yingying, Zhang, Haifeng, Zhang, Jingxin, Zhang, Lin, Wang, Lihui

“…•A Deep Deterministic Policy Gradient (DDPG)-based approach to service composition in cloud manufacturing is proposed.•Performance of DDPG is examined in both…”
Získať plný text

Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks Autor Wu, Tong, Zhou, Pan, Liu, Kai, Yuan, Yali, Wang, Xiumin, Huang, Huawei, Wu, Dapeng Oliver

“…As urban traffic condition is diverse and complicated, applying reinforcement learning to reduce traffic congestion becomes one of the hot and promising…”
Získať plný text

Adaptive neuro-fuzzy PID controller based on twin delayed deep deterministic policy gradient algorithm Autor Shi, Qian, Lam, Hak-Keung, Xuan, Chengbin, Chen, Ming

“…This paper presents an adaptive neuro-fuzzy PID controller based on twin delayed deep deterministic policy gradient (TD3) algorithm for nonlinear systems. In…”
Získať plný text

Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency Autor Touzani, Samir, Prakash, Anand Krishnan, Wang, Zhe, Agarwal, Shreya, Pritoni, Marco, Kiran, Mariam, Brown, Richard, Granderson, Jessica

“…Behind-the-meter distributed energy resources (DERs), including building solar photovoltaic (PV) technology and electric battery storage, are increasingly…”
Získať plný text

Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning Autor Li, Jiawen, Yu, Tao, Zhang, Xiaoshun

“…•A novel coordinated automatic generation control algorithm framework is proposed.•A deep reinforcement learning algorithm is introduced to obtains better…”
Získať plný text

Distributed Beamforming Techniques for Cell-Free Wireless Networks Using Deep Reinforcement Learning Autor Fredj, Firas, Al-Eryani, Yasser, Maghsudi, Setareh, Akrout, Mohamed, Hossain, Ekram

“…In a cell-free network, a large number of mobile devices are served simultaneously by several base stations (BSs)/access points(APs) using the same…”
Získať plný text

MetaSensing: Intelligent Metasurface Assisted RF 3D Sensing by Deep Reinforcement Learning Autor Hu, Jingzhi, Zhang, Hongliang, Bian, Kaigui, Renzo, Marco Di, Han, Zhu, Song, Lingyang

“…Using RF signals for wireless sensing has gained increasing attention. However, due to the unwanted multi-path fading in uncontrollable radio environments, the…”
Získať plný text

Energy management strategy for hybrid electric vehicles based on deep reinforcement learning with consideration of electric drive system thermal characteristics Autor Qin, Juhuan, Huang, Haozhong, Lu, Hualin, Li, Zhaojun

“…•An optimized energy management strategy based on deep deterministic policy gradient is proposed.•The strategy considers the thermal characteristics of the…”
Získať plný text

Brain-Inspired Deep Meta-Reinforcement Learning for Active Coordinated Fault-Tolerant Load Frequency Control of Multi-Area Grids Autor Li, Jiawen, Zhou, Tao, Cui, Haoyang

“…This paper proposes an active coordinated fault tolerance load frequency control (AFCT-LFC) method, which effectively prevents sudden frequency changes caused…”
Získať plný text

Data-driven voltage/var optimization control for active distribution network considering PV inverter reliability Autor Zhang, Bo, Gao, Yuan

“…•The XGBoost junction temperature calculation model is used to improve the junction temperature calculation efficiency and reduce the influence of IGBT…”
Získať plný text

Multiagent-based deep reinforcement learning framework for multi-asset adaptive trading and portfolio management Autor Cheng, Li-Chen, Sun, Jian-Shiou

“…The highly dynamic nature of stock markets has motivated researchers to propose various supervised learning models to assist investors to optimize financial…”
Získať plný text

Optimal dual-model controller of solid oxide fuel cell output voltage using imitation distributed deep reinforcement learning Autor Li, Jiawen, Cui, Haoyang, Jiang, Wei, Yu, Hengwen

“…Solid oxide fuel cell (SOFC) is disadvantaged by significant nonlinearity, which makes it difficult to control output voltage of SOFC and satisfy the…”
Získať plný text

Coordinated automatic generation control of interconnected power system with imitation guided exploration multi-agent deep reinforcement learning Autor Li, Jiawen, Yu, Tao, Zhang, Xiaoshun

“…•An intelligent automatic power generation control (IAGC) framework is proposed.•The proposed framework can improve the dynamic performance and reduce…”
Získať plný text

A novel data-driven model-free synchronization protocol for discrete-time multi-agent systems via TD3 based algorithm Autor Liu, Zhongxin, Li, Ye, Lan, Ge, Chen, Zengqiang

“…System modeling is a complex and time-consuming task in engineering, and traditional model-based or observer-based methods are unable to deal situations when…”
Získať plný text

Policy gradient in Lipschitz Markov Decision Processes Autor Pirotta, Matteo, Restelli, Marcello, Bascetta, Luca

“…This paper is about the exploitation of Lipschitz continuity properties for Markov Decision Processes to safely speed up policy-gradient algorithms. Starting…”
Získať plný text

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multiagent Reinforcement Learning Autor Dai, Pengcheng, Mo, Yuanqiu, Yu, Wenwu, Ren, Wei

“…This article studies the networked multiagent reinforcement learning problem, where the objective of agents is to collaboratively maximize the discounted…”
Získať plný text

Trajectory planning of redundant parallel mechanism considering motion accuracy based on reinforcement learning Autor Zeng, Chen-dong, Qiu, Zhi-cheng, Zhang, Fen-hua, Zhang, Xian-min

“…The motion accuracy of the trajectory directly affects the reliability of parallel mechanisms in precision tasks such as micro-assembly. Thus, this paper…”
Získať plný text

基于深度确定性策略梯度与模糊PID的直流微电网VRB储能系统就地层功率控制 Autor 陆鹏, 付华, 卢万杰

“…针对直流微电网全钒液流电池(vanadium redox flow battery,VRB)储能系统在实际运行时就地控制层中的功率控制器存在时滞、精度低及抗干扰能力差等问题,提出了一种基于深度确…”
Získať plný text

Autonomous intelligent control of earth pressure balance shield machine based on deep reinforcement learning Autor Liu, Xuanyu, Zhang, Wenshuai, Shao, Cheng, Wang, Yudong, Cong, Qiumei

“…In order to reduce the construction risk caused by human operation error and improve the geological adaptive ability of the shield machine, an autonomous…”
Získať plný text

Network-level aircraft trajectory planning via multi-agent deep reinforcement learning: Balancing climate considerations and operational manageability Autor Baneshi, Fateme, Cerezo-Magaña, María, Soler, Manuel

“…Optimizing flight trajectories emerges as a viable strategy to mitigate the non-CO2 climate impacts of aviation. However, integrating individually optimized…”
Získať plný text