Suchergebnisse - Distributed neural policy gradient algorithm~

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

“… Different from the existing methods that suffer from poor expression due to linear function approximation, we propose a distributed neural policy gradient algorithm that features two innovatively …”
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Distributed auto disturbances rejection resilient control of permanent magnetic maglev trains based on the optimized deep deterministic policy gradient algorithm von Guo, Zhen‐yu, Li, Zhong‐qi

“… magnetic maglev trains in virtual coupling mode. In this work, a new effective distributed auto disturbance rejection resilient controller based on the optimized deep deterministic policy gradient algorithm (DDPG) is proposed …”
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Data-Based Optimal Consensus Control for Multiagent Systems With Policy Gradient Reinforcement Learning von Yang, Xindi, Zhang, Hao, Wang, Zhuping

“… By utilizing the interactive data produced during the run of a real-time system, the proposed algorithm improves system performance based on distributed policy gradient RL …”
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Neural Network Algorithm for Training a Mobile Robot in the Task of Following a Target von Zvonarev, I. S., Karavaev, Yu. L.

“… The authors of the study present a detailed description of the architecture of the neural network, its training using a deep deterministic gradient policy algorithm, and integration with the robot control system …”
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Distributed Deep Deterministic Policy Gradient for Power Allocation Control in D2D-Based V2V Communications von Nguyen, Khoi Khac, Duong, Trung Q., Vien, Ngo Anh, Le-Khac, Nhien-An, Nguyen, Long D.

“… In this paper, we present two novel approaches based on deep deterministic policy gradient algorithm, namely "distributed …”
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A multiagent deep deterministic policy gradient-based distributed protection method for distribution network von Zeng, Peng, Cui, Shijie, Song, Chunhe, Wang, Zhongfeng, Li, Guangye

“… ; third, a DN distributed protection method based on multiagent deep deterministic policy gradient (MADDPG) is proposed …”
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Distributed Optimal Control of Nonlinear System Based on Policy Gradient With External Disturbance von Zhang, Hao, Li, Yan, Wang, Zhuping, Ding, Yi, Yan, Huaicheng

“… Aiming at the distributed optimal control problem in presence of external disturbance, a data-driven iterative algorithm based on policy gradient is proposed for multi-agent systems (MAS) in this article …”
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A Novel Integral Reinforcement Learning-Based Control Method Assisted by Twin Delayed Deep Deterministic Policy Gradient for Solid Oxide Fuel Cell in DC Microgrid von Liu, Yulin, Qie, Tianhao, Yu, Yang, Wang, Yuxuan, Chau, Tat Kei, Zhang, Xinan, Manandhar, Ujjal, Li, Sinan, Iu, Herbert, Fernando, Tyrone

“… the offline twin delayed deep deterministic policy gradient (TD3) algorithm to systematically determine the initial stabilizing control policy …”
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Learning Regionalization Using Accurate Spatial Cost Gradients Within a Differentiable High‐Resolution Hydrological Model: Application to the French Mediterranean Region von Huynh, Ngo Nghi Truyen, Garambois, Pierre‐André, Colleoni, François, Renard, Benjamin, Roux, Hélène, Demargne, Julie, Jay‐Allemand, Maxime, Javelle, Pierre

“… Estimating spatially distributed hydrological parameters in ungauged catchments poses a challenging regionalization problem and requires imposing spatial constraints given the sparsity of discharge data …”
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Joint control of manufacturing and onsite microgrid system via novel neural-network integrated reinforcement learning algorithms von Yang, Jiaojiao, Sun, Zeyi, Hu, Wenqing, Steinmeister, Louis

“… Microgrid is a promising technology of distributed energy supply system, which consists of storage devices, generation capacities including renewable sources, and controllable loads …”
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Deep Ensemble Reinforcement Learning with Multiple Deep Deterministic Policy Gradient Algorithm von Wu, Junta, Li, Huiyun

“… Deep deterministic policy gradient algorithm operating over continuous space of actions has attracted great attention for reinforcement learning …”
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Data-Driven Optimal Bipartite Consensus Control for Second-Order Multiagent Systems via Policy Gradient Reinforcement Learning von Liu, Qiwei, Yan, Huaicheng, Wang, Meng, Li, Zhichen, Liu, Shuai

“… Based on the distributed policy gradient reinforcement learning (RL) theory, a data-driven distributed optimal control strategy is obtained to guarantee the bipartite consensus of all agents' position and velocity states …”
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A Three-Stage Optimal Operation Strategy of Interconnected Microgrids With Rule-Based Deep Deterministic Policy Gradient Algorithm von Zhang, Huifeng, Yue, Dong, Dou, Chunxia, Hancke, Gerhard P.

“… )-based distributed privacy optimization. In the upper layer of the model, the rule-based deep deterministic policy gradient (DDPG …”
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A deep reinforcement learning based approach for dynamic distributed blocking flowshop scheduling with job insertions von Sun, Xueyan, Vogel‐Heuser, Birgit, Bi, Fandi, Shen, Weiming

“… ‐agent deep deterministic policy gradient (MADDPG) is proposed. In this framework …”
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Active Steering Controller for Driven Independently Rotating Wheelset Vehicles Based on Deep Reinforcement Learning von Lu, Zhenggang, Wei, Juyao, Wang, Zehan

“… ) algorithm, is adopted. Incorporating Distributed Prioritized Experience Replay (DPER), Ape-X DDPG trains neural network function approximators to obtain a data-driven DIRW active steering controller …”
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Rescale-Invariant Federated Reinforcement Learning for Resource Allocation in V2X Networks von Xu, Kaidi, Zhou, Shenglong, Ye Li, Geoffrey

“… However, the data discrepancy among individual agents can significantly degrade the performance of FRL-based algorithms …”
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Cooperative Adaptive Cruise Control: A Reinforcement Learning Approach von Desjardins, C., Chaib-draa, B.

“… Recently, improvements in sensing, communicating, and computing technologies have led to the development of driver-assistance systems (DASs). Such systems aim …”
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Distributed Drive Autonomous Vehicle Trajectory Tracking Control Based on Multi-Agent Deep Reinforcement Learning von Liu, Yalei, Ding, Weiping, Yang, Mingliang, Zhu, Honglin, Liu, Liyuan, Jin, Tianshi

“… output control for lateral dynamics as Markov decision processes. To dissect the requirements of action output continuity for longitudinal and lateral control, this paper adopts the deep deterministic policy gradient algorithm (DDPG …”
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Energy Management Model of Intelligent Park Based on Improved Depth Deterministic Gradient Strategy Algorithm von Xu, Chen, Jiang, Xianwei

“… The traditional distribution automation system, demand side management system, and distributed generation access and control system, respectively, solve the problems of regional distribution network …”
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Regionalization of hydrological model parameters using gradient boosting machine von Song, Zhihong, Xia, Jun, Wang, Gangsheng, She, Dunxian, Hu, Chen, Hong, Si

“… Here we incorporated the Penman–Monteith–Leuning (PML) equation into the Distributed Time Variant Gain Model (DTVGM …”
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