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Papers matching “deep deterministic policy gradient” 23

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Delayed Deep Deterministic Policy Gradient-Based Energy Management Strategy for Overall Energy Consumption Optimization of Dual Motor Electrified Powertrain
2023 IEEE Transactions on Vehicular Technology article Engineering Electric and Hybrid Vehicle Technologies

Jiageng Ruan, Changcheng Wu, Hanghang Cui, Weihan Li, Dirk Uwe Sauer

46

citations
The application of machine learning-based energy management strategy in a multi-mode plug-in hybrid electric vehicle, part II: Deep deterministic policy gradient algorithm design for electric mode
2023 Energy article Engineering Electric and Hybrid Vehicle Technologies Open access

Jiageng Ruan, Changcheng Wu, Zhaowen Liang, Kai Liu, Bin Li, Weihan Li, +1 more

56

citations
Maximum power point tracking of solar - pv under partial shading and variable load resistance using deep reinforcement learning algorithm
2026 Discover Electronics article Energy Photovoltaic System Optimization Techniques Open access

Ameze Big-Alabo

0

citations
Deep reinforcement learning for MPPT control under uniform and partial shading conditions
2026 IET conference proceedings. conference-paper Energy Photovoltaic System Optimization Techniques

Ameze Big-Alabo, Antonello Monti

0

citations
Cloud-based health-conscious energy management of hybrid battery systems in electric vehicles with deep reinforcement learning
2021 Applied Energy article Engineering Advanced Battery Technologies Research Open access

Weihan Li, Han Cui, Thomas Nemeth, Jonathan Jansen, Cem Ünlübayir, Zhongbao Wei, +6 more

108

citations
Simulation of strategic bidding for battery storage and e-mobility in local flexibility markets with multi-agent reinforcement learning
2022 IET conference proceedings. conference-paper Engineering Smart Grid Energy Management

J. Tran, L. Gajewski, P. Pfeifer, S. Krahl, A. Moser

0

citations
Reliability-Optimal Offloading in Low-Latency Edge Computing Networks: Analytical and Reinforcement Learning Based Designs
2021 IEEE Transactions on Vehicular Technology article Computer Science Age of Information Optimization

Yao Lin Zhu, Yulin Hu, Tianyu Yang, Tao Yang, Jannik Vogt, Anke Schmeink

31

citations
Reinforcement Learning Approaches for the Optimization of the Partial Oxidation Reaction of Methane
2022 Industrial & Engineering Chemistry Research article Materials Science Catalytic Processes in Materials Science

Marius Neumann, Stefan Palkovits

22

citations
Coupling of an analytical rolling model and reinforcement learning to design pass schedules: towards properties controlled hot rolling
2023 Journal of Intelligent Manufacturing article Engineering Metallurgy and Material Forming Open access cited by 1 patent

Christian Idzik, Achim Kramer, G. Hirt, Johannes Lohmar

22

citations
A novel energy management framework for retired battery-integrated microgrid with peak shaving and frequency regulation
2024 Energy article Engineering Microgrid Control and Optimization Open access

Yuyang Wan, Hancheng Zhang, Yuanyuan Hu, Yanbo Wang, Xueshan Liu, Zhe Chen

18

citations
Application of two promising Reinforcement Learning algorithms for load shifting in a cooling supply system
2020 Energy and Buildings article Energy Energy Efficiency and Management

Thomas Schreiber, Sören Eschweiler, Marc Baranski, Dirk Müller

66

citations
Application of Reinforcement Learning for the Design and Optimization of Pass Schedules in Hot Rolling
2023 Lecture notes in production engineering conference-paper Engineering Metallurgy and Material Forming

Christian Idzik, Johannes Lohmar, David Benjamin Bailly, G. Hirt

1

citations
Safe Reinforcement Learning for Real-World Engine Control
2025 SSRN Electronic Journal preprint Engineering Advanced Control Systems Optimization Open access

Julian Bedei, Lucas Koch, Kevin Badalian, Alexander Winkler, Patrick Schaber, Jakob Andert

2

citations
Comparative Analysis and Validation of Energy Management Methods for a Hybrid Marine Propulsion System on a Hardware-in-The-Loop Test Bench Setup
2024 SSRN Electronic Journal preprint Environmental Science Maritime Transport Emissions and Efficiency Open access

Cem Ünlübayir, Hiba Youssfi, Santiago Salas Ventura, Daniele Fortunati, Jonas Rinner, Katharina Lillith Quade, +2 more

0

citations
Two-Stage Coarse-to-Fine AutoRL for DDPG Hyperparameter Optimization
2026 Zenodo (CERN European Organization for Nuclear Research) software Open access

Alexander Winkler

0

citations
Two-Stage Coarse-to-Fine AutoRL for DDPG Hyperparameter Optimization
2026 RWTH Publications (RWTH Aachen) article Computer Science Machine Learning and Data Classification Open access

Alexander Winkler

0

citations
Deep Reinforcement Learning Based Energy Management Strategy for Fuel Cell and Battery Powered Rail Vehicles
2021 IEEE Vehicle Power and Propulsion Conference (VPPC) conference-paper Engineering Electric and Hybrid Vehicle Technologies

Kai Deng, Di Hai, Hujun Peng, Lars Löwenstein, Kay Hameyer

5

citations
Comparative analysis and test bench validation of energy management methods for a hybrid marine propulsion system powered by batteries and solid oxide fuel cells
2024 Applied Energy article Environmental Science Maritime Transport Emissions and Efficiency Open access

Cem Ünlübayir, Hiba Youssfi, Santiago Salas Ventura, Daniele Fortunati, Jonas Rinner, Martin Börner, +3 more

30

citations
Joint Link Adaptation and Device Scheduling Approach for URLLC Industrial IoT Network: A DRL-Based Method With Bayesian Optimization
2026 IEEE Transactions on Network Science and Engineering article Engineering IoT Networks and Protocols

Wei Gao, Paul Zheng, Peng Wu, Yulin Hu, Anke Schmeink

1

citations
Joint Link Adaptation and Device Scheduling Approach for URLLC Industrial IoT Network: A DRL-based Method with Bayesian Optimization
2025 RWTH Publications (RWTH Aachen) article Engineering Wireless Communication Security Techniques Open access

Wei Gao, Paul Zheng, Peng Wu, Yulin Hu, Anke Schmeink

0

citations
Joint Link Adaptation and Device Scheduling Approach for URLLC Industrial IoT Network: A DRL-based Method with Bayesian Optimization
2025 arXiv (Cornell University) preprint Engineering Wireless Communication Security Techniques Open access

Wei Gao, Paul Zheng, Peng Wu, Yulin Hu, Anke Schmeink

0

citations
A Nudge-Based Approach for Day-Ahead Optimal Scheduling of Destination Charging Station With Flexible Regulation Capacity
2024 IEEE Transactions on Transportation Electrification article Engineering Electric Vehicles and Infrastructure

Ziqi Zhang, Zhong Chen, Erdem Gümrükcü, Qiang Xing, Ferdinanda Ponci, Antonello Monti

8

citations
Design and Analysis of a Torque Controller for an IPMSM using Reinforcement Learning
2023 conference-paper Engineering Iterative Learning Control Systems

Hafsa Murtaza Kaboolio, Anne von Hoegen, Rik W. De Doncker, Nisai H. Fuengwarodsakul

0

citations

23 results