Search Results - DPG Algorithm

A curriculum-based multi-agent DPG-ASC algorithm for UAV area defense: A curriculum-based multi-agent DPG-ASC algorithm by Sun, Miaoping, Xu, Zehao, Yang, Zequan, Nian, Xiaohong, Chen, Yong

“… In this paper, we propose an improved multi-agent reinforcement learning algorithm called DPG-ASC…”
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A curriculum-based multi-agent DPG-ASC algorithm for UAV area defense by Sun, Miaoping, Xu, Zehao, Yang, Zequan, Nian, Xiaohong, Chen, Yong

“… In this paper, we propose an improved multi-agent reinforcement learning algorithm called DPG-ASC…”
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Feature selection in deterministic policy gradient by Li, Luntong, Li, Dazi, Song, Tianheng

“… In order to solve this problem, the authors extend DPG algorithm by adding an approximate-linear-dependency-based sparsification procedure, which makes DPG algorithm to automatically select…”
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An adaptive DPG method for high frequency time-harmonic wave propagation problems by Petrides, Socratis, Demkowicz, Leszek F.

“… The DPG method, with its attractive uniform (mesh and wavenumber independent) pre-asymptotic stability property, allows for a fully automatic adaptive hp-algorithm that can be initiated from very coarse meshes…”
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Manipulators with Machine Learning-based Control with Reinforcement by Mannaa, Ali Sagae, Zarubin, Andrei O.

“…This industry is created for a number of tasks in which there is no unambiguous solution algorithm…”
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Deep reinforcement learning based rate enhancement scheme for RIS assisted mobile users underlaying UAV by Joshi, Neeraj, Budhiraja, Ishan, Garg, Deepak, Garg, Sahil, Choi, Bong Jun, Alrashoud, Mubarak

“…The fifth generation (5G) network enabled communication between devices has emerged as a state-of-the-art technology. In the era of proliferating smart devices…”
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Optimal Lateral Path-Tracking Control of Vehicles With Partial Unknown Dynamics via DPG-Based Reinforcement Learning Methods by Shi, Xiongtao, Li, Yanjie, Hu, Wenxiao, Du, Chenglong, Chen, Chaoyang, Gui, Weihua

“… Then, to further remove the limitation of the initial admissibility of the control policy, a two-stage DPG-based RL optimal control algorithm is proposed, in which a novel finite-horizon performance…”
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Fast Integration of DPG Matrices Based on Sum Factorization for all the Energy Spaces by Mora, Jaime, Demkowicz, Leszek

“… The problem becomes even more relevant when computing the Gram matrix in the algorithm of the Discontinuous Petrov Galerkin (DPG) FE methodology…”
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A Control Strategy for a Distributed Power Generation Microgrid Application With Voltage- and Current-Controlled Source Converter by Serban, Emanuel, Serban, Helmine

“…This paper presents a pseudodroop control structure integrated within a microgrid system through distributed power generation (DPG…”
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Multi Pseudo Q-Learning-Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles by Shi, Wenjie, Song, Shiji, Wu, Cheng, Chen, C. L. Philip

“…) with unknown dynamics and constrained inputs. Different from existing policy gradient methods which employ single actor critic but cannot realize satisfactory tracking control accuracy and stable learning, our proposed algorithm can achieve high…”
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Relating Human Error-Based Learning to Modern Deep RL Algorithms by Garibbo, Michele, Ludwig, Casimir J H, Lepora, Nathan F, Aitchison, Laurence

“… To bridge this gap, we developed an alternative deep RL algorithm inspired by human error-based learning, model-based deterministic policy gradients (MB-DPG…”
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Composite optimization with coupling constraints via dual proximal gradient method with applications to asynchronous networks by Wang, Jianzheng, Hu, Guoqiang

“… Then, an asynchronous DPG (Asyn‐DPG) algorithm is proposed for the asynchronous networks with heterogeneous step…”
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Subpixel Matching Using Double-Precision Gradient-Based Method for Digital Image Correlation by Liu, Gang, Li, Mengzhu, Zhang, Weiqing, Gu, Jiawei

“… A subpixel displacement matching method, named the double-precision gradient-based algorithm (DPG…”
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Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach by Ngo, Quynh Tu, Phan, Khoa Tran, Mahmood, Abdun, Xiang, Wei

“… information and IRS power consumption. We leverage deep reinforcement learning (DRL) to solve the problem by proposing a fast DRL algorithm, namely the deep post-decision state-deterministic policy gradient (DPDS-DPG) algorithm…”
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Joint control of manufacturing and onsite microgrid system via novel neural-network integrated reinforcement learning algorithms by Yang, Jiaojiao, Sun, Zeyi, Hu, Wenqing, Steinmeister, Louis

“…•Markov decision process is used to model the decision procedure.•Reinforcement learning leveraging TD and DPG is proposed to solve the problem…”
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Intelligent Trajectory Design in UAV-Aided Communications With Reinforcement Learning by Yin, Sixing, Zhao, Shuo, Zhao, Yifei, Yu, F. Richard

“… Due to the continuous and deterministic action space, the deterministic policy gradient (DPG…”
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Diastolic pulmonary vascular pressure gradient: a predictor of prognosis in "out-of-proportion" pulmonary hypertension by Gerges, Christian, Gerges, Mario, Lang, Marie B, Zhang, Yuhui, Jakowitsch, Johannes, Probst, Peter, Maurer, Gerald, Lang, Irene M

“… However, TPG is sensitive to changes in cardiac output and left atrial pressure. Therefore, we tested the prognostic value of diastolic pulmonary vascular pressure gradient (DPG…”
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UGV Navigation Optimization Aided by Reinforcement Learning-Based Path Tracking by Wei, Minggao, Wang, Song, Zheng, Jinfan, Chen, Dan

“…The success of robotic, such as UGV systems, largely benefits from the fundamental capability of autonomously finding collision-free path(s) to commit mobile…”
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Policy Consensus-Based Distributed Deterministic Multi-Agent Reinforcement Learning Over Directed Graphs by Hu, Yifan, Fu, Junjie, Wen, Guanghui, Sun, Changyin

“… A theoretical on-policy distributed actor-critic algorithm is first proposed based on a local DPG theorem, which considers observation-based policies, and incorporates consensus updates…”
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Path Design and Resource Management for NOMA Enhanced Indoor Intelligent Robots by Zhong, Ruikang, Liu, Xiao, Liu, Yuanwei, Chen, Yue, Wang, Xianbin

“…A communication enabled indoor intelligent robots (IRs) service framework is proposed, where non-orthogonal multiple access (NOMA) technique is adopted to…”
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