Search Results - ST‐based data‐driven policy iteration algorithm

Data‐driven policy iteration algorithm for optimal control of continuous‐time Itô stochastic systems with Markovian jumps

Authors: Song, Jun He, Shuping Liu, Fei et al.

Source: Song, J, He, S, Liu, F, Niu, Y & Ding, Z 2016, 'Data-driven policy iteration algorithm for optimal control of continuous-time Ito stochastic systems with Markovian jumps', I E T Control Theory and Applications, vol. 10, no. 12, pp. 1431-1439. https://doi.org/10.1049/iet-cta.2015.0973

Subject Terms: 2. Zero hunger, 0209 industrial biotechnology, 02 engineering and technology

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Access URL: https://www.research.manchester.ac.uk/portal/files/34313899/2016IETCTA3Preprint.pdf
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cta.2015.0973
https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2015.0973
http://ieeexplore.ieee.org/document/7519156/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7519156
https://www.research.manchester.ac.uk/portal/en/publications/datadriven-policy-iteration-algorithm-for-optimal-control-of-continuoustime-ito-stochastic-systems-with-markovian-jumps(3bac4eb8-ac1d-4a32-8312-e08e1a850559).html
https://pure.manchester.ac.uk/ws/files/34313899/2016IETCTA3Preprint.pdf
https://doi.org/10.1049/iet-cta.2015.0973
https://research.manchester.ac.uk/en/publications/3bac4eb8-ac1d-4a32-8312-e08e1a850559

Active Steering Controller for Driven Independently Rotating Wheelset Vehicles Based on Deep Reinforcement Learning.

Authors: Lu, Zhenggang Wei, Juyao Wang, Zehan

Source: Processes; Sep2023, Vol. 11 Issue 9, p2677, 25p

Subject Terms: DEEP reinforcement learning, REINFORCEMENT learning, MOTOR vehicle springs & suspension, AUTOMOBILE steering gear, DIGITAL twin, RAILROAD trains, MODELS & modelmaking, TORQUE control

A Reinforcement Learning-Based Reconstruction Method for Complex Defect Profiles in MFL Inspection.

Authors: Wu, Zhenning Deng, Yiming Liu, Jinhai et al.

Source: IEEE Transactions on Instrumentation & Measurement; 2021, Vol. 70, p1-10, 10p

Subject Terms: ITERATIVE learning control, MAGNETIC flux leakage, NONDESTRUCTIVE testing, REINFORCEMENT learning, INVERSE problems, DEPTH profiling

Review on path planning methods for autonomous underwater vehicle.

Authors: Mohanty, Prases K Chaudhary, Vishnu Prajapati, Rahul

Source: Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment (Sage Publications, Ltd.); Feb2025, Vol. 239 Issue 1, p3-37, 35p

Machine Learning-Based Electric Vehicle Charging Demand Forecasting: A Systematized Literature Review.

Authors: Alaraj, Maher Radi, Mohammed Alsisi, Elaf et al.

Source: Energies (19961073); Sep2025, Vol. 18 Issue 17, p4779, 92p

Subject Terms: MACHINE learning, ELECTRIC vehicles, ELECTRIC vehicle charging stations, ELECTRIC power consumption forecasting, DEEP learning, SUSTAINABLE development

Systematic Review of Artificial Intelligence and Electrocardiography for Cardiovascular Disease Diagnosis.

Authors: Velandia, Hernando Pardo, Aldo Vera, María Isabel et al.

Source: Bioengineering (Basel); Nov2025, Vol. 12 Issue 11, p1248, 33p

Subject Terms: ARTIFICIAL intelligence, ELECTROCARDIOGRAPHY, TRANSLATIONAL research, DEEP learning, DIAGNOSIS, CARDIOVASCULAR diseases, MACHINE learning, WEARABLE technology

Continuous decision‐making for autonomous driving at intersections using deep deterministic policy gradient.

Authors: Li, Guofa Li, Shenglong Li, Shen et al.

Source: IET Intelligent Transport Systems (Wiley-Blackwell); Dec2022, Vol. 16 Issue 12, p1669-1681, 13p

Subject Terms: REINFORCEMENT learning, AUTONOMOUS vehicles, TRAFFIC safety, CONVOLUTIONAL neural networks, DECISION making, MARKOV processes, PROBLEM solving

An Adaptive Electric Vehicle Charging Management Strategy for Multi-Level Travel Demands.

Authors: Zhang, Shuai Guo, Dong Zhou, Bin et al.

Source: Sustainability (2071-1050); Mar2025, Vol. 17 Issue 6, p2501, 48p

Intrusion Prevention Through Optimal Stopping.

Authors: Hammar, Kim Stadler, Rolf

Source: IEEE Transactions on Network & Service Management; Sep2022, Vol. 19 Issue 3, p2333-2348, 16p

A Visual Sensitivity Aware ABR Algorithm for DASH via Deep Reinforcement Learning.

Authors: JIN YE MENG DAN WENCHAO JIANG

Source: ACM Transactions on Multimedia Computing, Communications & Applications; Mar2024, Vol. 20 Issue 3, p1-22, 22p

Application of Meta-Heuristic Algorithms in Reservoir Supply Optimization, Case Study: Mahabad Dam in Iran.

Authors: Emami, Somayeh Jahandideh, Omid Yousefi, Hossein et al.

Source: Journal of Soft Computing in Civil Engineering; Apr2023, Vol. 7 Issue 2, p98-114, 17p

Subject Terms: STRATEGIC planning, RAINFALL, ALGORITHMS, GENETIC algorithms, RESERVOIRS

Reinforcement Learning-Based Optimal Battery Control Under Cycle-Based Degradation Cost.

Authors: Kwon, Kyung-Bin Zhu, Hao

Source: IEEE Transactions on Smart Grid; Nov2022, Vol. 13 Issue 6, p4909-4917, 9p

Ensemble Experiments to Optimize Interventions Along the Customer Journey: A Reinforcement Learning Approach.

Authors: Song, Yicheng Sun, Tianshu

Source: Management Science; Aug2024, Vol. 70 Issue 8, p5115-5130, 16p

Subject Terms: CUSTOMER experience, REINFORCEMENT learning, SCIENCE awards, TEACHING awards, WEB design

POMDP-Based Statistical Spoken Dialog Systems: A Review.

Authors: Young, Steve Gasic, Milica Thomson, Blaise et al.

Source: Proceedings of the IEEE; May2013, Vol. 101 Issue 5, p1160-1179, 20p

Subject Terms: VOICE recognition software, ROBUST control, BAYESIAN analysis, HIDDEN Markov models, MARKOV processes, ALGORITHMS

Resource Slicing for eMBB and URLLC Services in Radio Access Network Using Hierarchical Deep Learning.

Authors: Setayesh, Mehdi Bahrami, Shahab Wong, Vincent W.S.

Source: IEEE Transactions on Wireless Communications; Nov2022, Vol. 21 Issue 11, p8950-8966, 17p

EFFICIENT TIME-STEPPING FOR NUMERICAL INTEGRATION USING REINFORCEMENT LEARNING.

Authors: DELLNITZ, MICHAEL HÜLLERMEIER, EYKE LÜCKE, MARVIN et al.

Source: SIAM Journal on Scientific Computing; 2023, Vol. 45 Issue 2, pA579-A595, 17p

Subject Terms: NUMERICAL integration, DIFFERENTIAL equations, INITIAL value problems, SOURCE code

North American Society for the Psychology of Sport and Physical Activity Virtual Conference June 9-11, 2021.

Source: Journal of Sport & Exercise Psychology; 2021 Supplement 1, Vol. 43, pS1-S98, 98p

Subject Terms: VIRTUAL conferences, RESISTANCE training, EXERCISE, SPORTS psychology, PHYSICAL activity

Two-Stage Volt/Var Control in Active Distribution Networks With Multi-Agent Deep Reinforcement Learning Method.

Authors: Sun, Xianzhuo Qiu, Jing

Source: IEEE Transactions on Smart Grid; Jul2021, Vol. 12 Issue 4, p2903-2912, 10p

Keywords-enhanced Deep Reinforcement Learning Model for Travel Recommendation.

Authors: LEI CHEN JIE CAO WEICHAO LIANG et al.

Source: ACM Transactions on the Web; Feb2023, Vol. 17 Issue 1, p1-21, 21p

Subject Terms: REINFORCEMENT learning, DEEP learning, REWARD (Psychology), REINFORCEMENT (Psychology), MARKOV processes

Learning to Calibrate Battery Models in Real-Time with Deep Reinforcement Learning.

Authors: Unagar, Ajaykumar Tian, Yuan Chao, Manuel Arias et al.

Source: Energies (19961073); Mar2021, Vol. 14 Issue 5, p1361-1361, 1p

Subject Terms: REINFORCEMENT learning, DEEP learning, KALMAN filtering, LEAD-acid batteries, STORAGE batteries, CALIBRATION