Search Results - "DPG Algorithm"

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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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. Accordingly, these tasks cannot be solved in a fully…”
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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

“…This paper investigates trajectory tracking problem for a class of underactuated autonomous underwater vehicles (AUVs) with unknown dynamics and constrained…”
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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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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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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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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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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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Detect Insider Attacks Using CNN in Decentralized Optimization by Li, Gangqiang, Wu, Sissi Xiaoxiao, Zhang, Shengli, Li, Qiang

“…) algorithm, when it is applied for solving a decentralized multi-agent optimization. It is known that the gossip-based DPG algorithm is vulnerable to insider attacks because each agent locally estimates its (sub…”
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Learning-based state estimation and control using MHE and MPC schemes with imperfect models by Nejatbakhsh Esfahani, Hossein, Bahari Kordabad, Arash, Cai, Wenqi, Gros, Sebastien

“… A compatible Deterministic Policy Gradient (DPG) algorithm is then proposed to directly tune the parameters of both the estimator (MHE) and controller (MPC…”
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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

“… Second, we propose an enhanced DPG algorithm integrating an attention mechanism with selective communication to reduce redundant input information for each agent, thereby lowering per-step…”
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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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High-Level Tracking of Autonomous Underwater Vehicles Based on Pseudo Averaged Q-Learning by Shi, Wenjie, Song, Shiji, Wu, Cheng

“…In this paper, we investigate the trajectory tracking problem of underactuated autonomous underwater vehicles (AUVs) with input saturation. Our proposed…”
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Reinforcement Learning Based Adaptive Load Shedding by CANFIS Controllers for Frequency Recovery Criterion-Oriented Control by Yang, Hao, Jin, Bo, Ding, Zhaohao, Sun, Zhenglong, Liu, Cheng, Yang, Dongfeng, Cai, Guowei, Chen, Jian

“…To ensure modern power systems with the ability to ride through frequency excursions after a power deficit, a refined and strict frequency recovery criterion…”
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Approximating Nash Equilibrium in Day-ahead Electricity Market Bidding with Multi-agent Deep Reinforcement Learning by Yan Du, Fangxing Li, Helia Zandi, Yaosuo Xue

“…), is applied for approximating the Nash equilibrium (NE) in the above Markov game. The MAD-DPG algorithm has the advantage of generalization due to the automatic feature extraction ability of the deep neural networks…”
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Dual-Based Online Learning of Dynamic Network Topologies by Saboksayr, Seyed Saman, Mateos, Gonzalo

“… We also show that the online DPG algorithm converges faster than a primal-based baseline of comparable complexity…”
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Design, Modeling and Control of a Novel Morphing Quadrotor by Hu, Dada, Pei, Zhongcai, Shi, Jia, Tang, Zhiyong

“…In this letter, the design, modeling and control of a novel morphing quadrotor are presented. The morphing quadrotor can fly stably and accurately in the air…”
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Localization of Data Injection Attacks on Distributed M-Estimation by Shalom, Or, Leshem, Amir, Scaglione, Anna

“… The agents' data are independent and identically distributed. We have previously proposed a novel data injection attack on the Distributed Projected Gradient (DPG…”
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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

“… Second, we propose an enhanced DPG algorithm integrating an attention mechanism with selective communication to reduce redundant input information for each agent, thereby lowering per-step…”
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Single-Parameter-Tuned Attitude Control for Quadrotor with Unknown Disturbance by Hu, Dada, Pei, Zhongcai, Tang, Zhiyong

“… A deterministic policy gradient (DPG) algorithm that is based on an actor-critic structure in a model-free style is used as the learning algorithm…”
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