Výsledky vyhledávání - "deep deterministic policy gradient algorithm"

Motion planning for 7-degree-of-freedom bionic arm: Deep deterministic policy gradient algorithm based on imitation of human action Autor Li, Baojiang, Qiu, Shengjie, Ye, Haiyan, Guo, Yuting, Wang, Haiyan, Bai, Jibo

“… Meanwhile, bionic arms often require specific programming to be implemented for the subject to initially meet the control requirements, which makes it difficult to match the motion of the bionic arm…”
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Deep Ensemble Reinforcement Learning with Multiple Deep Deterministic Policy Gradient Algorithm Autor 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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Optimization control of the double‐capacity water tank‐level system using the deep deterministic policy gradient algorithm Autor Ye, Likun, Jiang, Pei

“…Process control systems are subject to external factors such as changes in working conditions and perturbation interference, which can significantly affect the system's stability and overall performance…”
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Robust control for anaerobic digestion systems of Tequila vinasses under uncertainty: A Deep Deterministic Policy Gradient Algorithm Autor Mendiola-Rodriguez, Tannia A., Ricardez-Sandoval, Luis A.

“… Anaerobic digestion is a complex system subject to external perturbations and parametric uncertainty…”
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Wide-Range Variable Cycle Engine Control Based on Deep Reinforcement Learning Autor Ding, Yaoyao, Wang, Fengming, Mu, Yuanwei, Sun, Hongfei

“… deterministic policy gradient algorithm, and it applies an action space pruning technique to optimize…”
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Robust Energy-Efficient DRL-Based Optimization in UAV-Mounted RIS Systems with Jitter Autor Salim, Mahmoud M., Rabie, Khaled M., Muqaibel, Ali H.

“… To address this, we reformulate the problem as a deep reinforcement learning (DRL) environment and develop a smoothed softmax dual deep deterministic policy gradient algorithm…”
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Deep-Reinforcement-Learning-Based Computation Offloading for Servicing Dynamic Demand in Multi-UAV-Assisted IoT Network Autor Lin, Na, Bai, Lu, Hawbani, Ammar, Guan, Yunchong, Mao, Chaojin, Liu, Zhi, Zhao, Liang

“… The dynamic scheduling and computation offloading of UAVs is the subject of this article. Specifically, we propose a deep deterministic policy gradient algorithm based on a greedy…”
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Adaptive trajectory controller design for unmanned surface vehicles based on SAC-PID Autor Guan, Wei, Xi, Zhaoyong, Cui, Zhewen, Zhang, Xianku

“…An adaptive proportional integral derivative (PID) controller based on the soft actor-critic (SAC) algorithm for trajectory control of unmanned surface…”
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Three-Dimensional Trajectory Design for Multi-User MISO UAV Communications: A Deep Reinforcement Learning Approach Autor Wang, Yang, Gao, Zhen

“…), which is developed from a deep deterministic policy gradient algorithm. In particular, to represent the state information of UAV and environment, we set an additional information, i.e…”
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Online Assignment of Satellite Data Transmission Tasks Based on Twin Delayed Deep Deterministic Policy Gradient Autor Li, Ke, Xiong, Shunrui, Yang, Mingying, Ma, Sai

“…This study focuses on the scheduling problem of satellite data transmission tasks, where ground station resources are scarce and subject to multiple constraints, such as limited funding, long…”
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Coordinated Scheduling Strategy for Multi-Agent System in Active Distribution Grid based on Deep Reinforcement Learning Method Autor Liu, Xuan, Li, Wanbin, Song, Lin, Yao, Zhanfeng, Lu, Tianguang, Bai, Xue, Zhang, Yuqi, Wang, Wenxin, Zheng, Yanan, Liu, Chunxiu

“… First, each subject such as distributed power sources, energy storage devices and flexible loads is taken as an intelligent agent in an active distribution grid, and the real-time state information…”
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Computing Transition Pathways for the Study of Rare Events Using Deep Reinforcement Learning Autor Lin, Bo, Zhong, Yangzheng, Ren, Weiqing

“…Understanding the transition events between metastable states in complex systems is an important subject in the fields of computational physics, chemistry and biology…”
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A deep reinforcement learning approach to assess the low-altitude airspace capacity for urban air mobility Autor Asal Mehditabrizi, Samadzad, Mahdi, Sabzekar, Sina

“… Path planning is a vital subject in urban air mobility which could enable a large number of UAVs to fly simultaneously in the airspace without facing the risk of collision…”
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Three-Dimensional Trajectory Design for Multi-User MISO UAV Communications: A Deep Reinforcement Learning Approach Autor Wang, Yang, Gao, Zhen

“…), which is developed from a deep deterministic policy gradient algorithm. In particular, to represent the state information of UAV and environment, we set an additional information, i.e…”
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Deterministic Policy Gradients With General State Transitions Autor Cai, Qingpeng, Pan, Ling, Tang, Pingzhong

“…We study a reinforcement learning setting, where the state transition function is a convex combination of a stochastic continuous function and a deterministic…”
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Guidance Design for Escape Flight Vehicle Using Evolution Strategy Enhanced Deep Reinforcement Learning Autor Hu, Xiao, Wang, Tianshu, Gong, Min, Yang, Shaoshi

“…Guidance commands of flight vehicles can be regarded as a series of data sets having fixed time intervals, thus guidance design constitutes a typical…”
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Guidance Design for Escape Flight Vehicle Using Evolution Strategy Enhanced Deep Reinforcement Learning Autor Hu, Xiao, Wang, Tianshu, Gong, Min, Yang, Shaoshi

“… For the EFV, the objective of the guidance design entails progressively maximizing the residual velocity, subject to the constraint imposed by the given evasion distance…”
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