Search Results - "DPG Algorithm"

Design of an Adaptive Robust PI Controller for DC/DC Boost Converter Using Reinforcement-Learning Technique and Snake Optimization Algorithm

Authors: Seyyed Morteza Ghamari Mojtaba Hajihosseini Daryoush Habibi et al.

Source: IEEE Access, Vol 12, Pp 141814-141829 (2024)

Subject Terms: Optimization, disturbance, Robust controller, reinforcement learning technique, Boost converter, Adaptation models, Aerospace electronics, Disturbance, Metaheuristics, Boost Converter, Electrical and Computer Engineering, Tuning, DPG Algorithm, TK1-9971, PI control, Engineering, Reinforcement Learning Technique, DPG, Heuristic algorithms, Electrical engineering. Electronics. Nuclear engineering, robust controller

File Description: application/pdf

Access URL: https://doaj.org/article/4794231cf3f44a1ca02f5f77c53f9db0

Path Design and Resource Management for NOMA Enhanced Indoor Intelligent Robots.

Authors: Zhong, Ruikang Liu, Xiao Liu, Yuanwei et al.

Source: IEEE Transactions on Wireless Communications; Oct2022, Vol. 21 Issue 10, p8007-8021, 15p

Deep reinforcement learning based rate enhancement scheme for RIS assisted mobile users underlaying UAV.

Authors: Joshi, Neeraj Budhiraja, Ishan Garg, Deepak et al.

Source: Alexandria Engineering Journal. Mar2024, Vol. 91, p1-11. 11p.

Subject Terms: Deep reinforcement learning, Reinforcement learning, Trajectory optimization, Telecommunication systems, 5G networks, Wireless communications

Composite optimization with coupling constraints via dual proximal gradient method with applications to asynchronous networks.

Authors: Wang, Jianzheng Hu, Guoqiang

Source: International Journal of Robust & Nonlinear Control; 5/25/2022, Vol. 32 Issue 8, p4752-4770, 19p

Subject Terms: ELECTRICITY markets, COST functions, COMPUTATIONAL complexity, SOCIAL services, SMOOTHNESS of functions, ALGORITHMS, SENSOR networks

Intelligent Trajectory Design in UAV-Aided Communications With Reinforcement Learning.

Authors: Yin, Sixing Zhao, Shuo Zhao, Yifei et al.

Source: IEEE Transactions on Vehicular Technology; Aug2019, Vol. 68 Issue 8, p8227-8231, 5p

Subject Terms: REINFORCEMENT learning, DRONE aircraft, MARKOV processes, REMOTELY piloted vehicles, EARTH stations

Deep reinforcement learning based rate enhancement scheme for RIS assisted mobile users underlaying UAV

Authors: Neeraj Joshi Ishan Budhiraja Deepak Garg et al.

Source: Alexandria Engineering Journal, Vol 91, Iss, Pp 1-11 (2024)

Subject Terms: Sum-rate, DRL, UAV, 0103 physical sciences, RIS, 0202 electrical engineering, electronic engineering, information engineering, 5G network, Power allocation, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General), 01 natural sciences

Access URL: https://doaj.org/article/dc5434967f6543bf8b74821ec450a1d6

Path Design and Resource Management for NOMA enhanced Indoor Intelligent Robots

Authors: Zhong, Ruikang Liu, Xiao Liu, Yuanwei et al.

Index Terms: Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Systems and Control, text

URL: http://arxiv.org/abs/2011.11745

A deep reinforcement learning based EMS for PHEV considering temperature equilibrium of battery modules.

Authors: Zhou, Jianhao Zhang, Yule Wang, Chunyan et al.

Source: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering (Sage Publications, Ltd.); Dec2025, Vol. 239 Issue 14, p7505-7523, 19p

Modulating chaos in spatiotemporal systems based on deep reinforcement learning.

Authors: Han, Yanyan Pan, Jiyuan Lei, Youming

Source: International Journal of Dynamics & Control; Nov2025, Vol. 13 Issue 11, p1-15, 15p

Adaptive emergency response and dynamic crowd navigation for mobile robot using deep reinforcement learning.

Authors: Alexander, Anusha Vangaveeti, V. N. Suchir Venkatesan, Kalaichelvi et al.

Source: Frontiers in Robotics & AI; 2025, p1-22, 22p

Subject Terms: REINFORCEMENT learning, ROBOTIC path planning, MOBILE robots, AUTONOMOUS robots, CRISIS management

An Adaptive Framework for Remaining Useful Life Prediction Integrating Attention Mechanism and Deep Reinforcement Learning.

Authors: Bai, Yanhui Du, Jiajia Li, Honghui et al.

Source: Sensors (14248220); Oct2025, Vol. 25 Issue 20, p6354, 30p

Subject Terms: REMAINING useful life, REINFORCEMENT learning, DEEP learning, INDUSTRIAL applications, ATTENTION, FEATURE extraction, PROGNOSIS

Path Design and Resource Management for NOMA Enhanced Indoor Intelligent Robots

Authors: Ruikang Zhong Xiao Liu Yuanwei Liu et al.

Source: IEEE Transactions on Wireless Communications. 21:8007-8021

Subject Terms: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), 02 engineering and technology, Electrical Engineering and Systems Science - Systems and Control

Access URL: http://arxiv.org/abs/2011.11745

Aligning Language Models with Preferences through f-divergence Minimization

Authors: Go, Dongyoung Korbak, Tomasz Kruszewski, Germán et al.

Index Terms: Computer Science - Computation and Language, Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2302.08215

Context-Aware Translation Accuracy Improvement Strategies Based on Deep Reinforcement Learning in English Translation.

Authors: Shi, Li Sun, Xiaohong

Source: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127b, p3641-3657, 17p

Subject Terms: REINFORCEMENT learning, CONTEXT-aware computing, MACHINE translating, CONVOLUTIONAL neural networks

Deep Learning-Driven Curriculum Innovation and Structural Optimization of Art and Design Education in Artificial Intelligence Environment.

Authors: Li, Xin

Source: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127b, p6165-6185, 21p

Subject Terms: DEEP learning, ARTIFICIAL intelligence, ART education, CURRICULUM planning, CURRICULUM evaluation, RECOMMENDER systems

Research on optimal allocation of industrial internet resources based on converged edge computing and blockchain.

Authors: Wu, Hongqiang Wang, Shaohua Tan, Xinlong

Source: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p8189-8211, 23p

Subject Terms: BLOCKCHAINS, COMPUTER network architectures, RESOURCE allocation, COMPUTATIONAL mathematics, INTERNET, REINFORCEMENT learning

Design of Robust Adaptive Nonlinear Backstepping Controller Enhanced by Deep Deterministic Policy Gradient Algorithm for Efficient Power Converter Regulation.

Authors: Ghamari, Seyyed Morteza Aziz, Asma Ghahramani, Mehrdad

Source: Energies (19961073); Sep2025, Vol. 18 Issue 18, p4941, 27p

Subject Terms: ADAPTIVE control systems, REINFORCEMENT learning, GREY Wolf Optimizer algorithm, NONLINEAR systems, STABILITY (Mechanics), CONVERTERS (Electronics), HARDWARE-in-the-loop simulation

Intelligent generation and optimization of resources in music teaching reform based on artificial intelligence and deep learning.

Authors: Cheng, Ding Qu, Xiaoyu

Source: Scientific Reports; 8/17/2025, Vol. 15 Issue 1, p1-17, 17p

Subject Terms: ARTIFICIAL intelligence, DEEP learning, MELODIC analysis, USER experience, MUSIC education, INDIVIDUALIZED instruction, REINFORCEMENT learning

Model‐Free Deep Reinforcement Learning with Multiple Line‐of‐Sight Guidance Laws for Autonomous Underwater Vehicles Full‐Attitude and Velocity Control.

Authors: Yuan, Chengren Shuai, Changgeng Zhang, Zhanshuo et al.

Source: Advanced Intelligent Systems (2640-4567); Aug2025, Vol. 7 Issue 8, p1-14, 14p

Subject Terms: AUTONOMOUS underwater vehicles, REINFORCEMENT learning, ADAPTIVE control systems, FEEDBACK control system stability, SIMULATION methods & models, MATHEMATICAL optimization

Incremental Reinforcement Learning for Portfolio Optimisation.

Authors: Shabe, Refiloe Engelbrecht, Andries Anderson, Kian

Source: Computers (2073-431X); Jul2025, Vol. 14 Issue 7, p242, 15p

Subject Terms: PORTFOLIO management (Investments), COVID-19 pandemic, RECURRENT neural networks, FINANCIAL markets, MACHINE learning, REINFORCEMENT learning, DECISION making