Suchergebnisse - approximate statistical dynamic programming algorithm~

Energy-Efficient Transmission Strategy for Delay Tolerable Services in NOMA-Based Downlink With Two Users

Autoren: Mengmeng Bai Rui Zhu Jianxin Guo et al.

Quelle: IEEE Access, Vol 11, Pp 113227-113243 (2023)

Schlagwörter: Energy efficiency, delay tolerable, deep deterministic policy gradient, approximate statistical dynamic programming algorithm, proximal policy optimization, Electrical engineering. Electronics. Nuclear engineering, 7. Clean energy, TK1-9971

Zugangs-URL: https://doaj.org/article/1b13aa4558a749f69de123006e39486f

Energy-efficient power control strategy of the delay tolerable service based on the reinforcement learning.

Autoren: Bai, Mengmeng Zhu, Rui Guo, Jianxin et al.

Quelle: Computer Communications. Oct2023, Vol. 210, p102-115. 14p.

Schlagwörter: *DYNAMIC programming, *ENERGY consumption, DEEP reinforcement learning, GREEDY algorithms, REINFORCEMENT learning, POWER transmission

A fully adaptive framework for continuous-state stochastic dynamic programming.

Autoren: Fan, Huiyuan Tarun, Prashant K. Viswanatha, Amith et al.

Quelle: Computers & Operations Research. Nov2025, Vol. 183, pN.PAG-N.PAG. 1p.

Schlagwörter: *DYNAMIC programming, *STATISTICS, STATISTICAL models, SPACE exploration, COMPUTER engineering

Efficient algorithms of pathwise dynamic programming for decision optimization in mining operations

Autoren: Hinz, J Tarnopolskaya, T Yee, J

Index Begriffe: 01 Mathematical Sciences, 08 Information and Computing Sciences, 15 Commerce, Management, Tourism and Services, Journal Article

URL: http://hdl.handle.net/10453/142926
http://purl.org/au-research/grants/arc/DP130103315
Annals of Operations Research
10.1007/s10479-018-2910-3
http://purl.org/au-research/grants/arc/DP130103315

时延可容忍业务中的高能效信息传输策略研究. (Chinese)

Alternate Title: Research on energy-efficient information transmission strategy based on latency-tolerant services. (English)

Autoren: 邬伶凤 朱锐 曹九霄 et al.

Quelle: Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition) / Chongqing Youdian Daxue Xuebao (Ziran Kexue Ban); Jun2025, Vol. 37 Issue 3, p333-345, 13p

Schlagwörter: DEEP reinforcement learning, REINFORCEMENT learning, GREEDY algorithms, POWER transmission, POWER resources

Optimistic Planning by Regularized Dynamic Programming

Autoren: Moulin, Antoine Neu, Gergely

Index Begriffe: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2302.14004

Process mining with event attributes and transition features for care pathway modelling.

Autoren: Rifki, Omar Peng, Zhihao Perrier, Lionel et al.

Quelle: International Journal of Production Research; May2025, Vol. 63 Issue 10, p3684-3708, 25p

Schlagwörter: HEURISTIC algorithms, PROCESS mining, DYNAMIC programming, TUMOR surgery, CANCER treatment

A segment-wise dynamic programming algorithm for BSDEs.

Autoren: Bender, Christian Meyer, Steffen

Quelle: Probability, Uncertainty & Quantitative Risk; Mar2025, Vol. 10 Issue 1, p1-32, 32p

Schlagwörter: MONTE Carlo method, DYNAMIC programming, STOCHASTIC differential equations, CONDITIONAL expectations, ALGORITHMS

A fix and optimize method based approximate dynamic programming approach for the strategic fleet sizing and delivery planning problem.

Autoren: Aghazadeh, Duygu Ertogral, Kadir

Quelle: Central European Journal of Operations Research; Mar2025, Vol. 33 Issue 1, p91-119, 29p

Schlagwörter: INVENTORY costs, OPERATING costs, DYNAMIC programming, DISTRIBUTION costs, PRODUCT costing

Research on ship trajectory compression based on a Dynamic Programming algorithm.

Autoren: Hu, Yinjie Qi, Le Ji, Yuanyuan et al.

Quelle: Journal of Navigation; May2024, Vol. 77 Issue 3, p376-394, 19p

Schlagwörter: DATA compression, DYNAMIC programming, NAVIGATION, AUTOMATIC identification, TRAJECTORIES (Mechanics), SHIP maneuverability

CausNet-partial: 'Partial Generational Orderings' based search for optimal sparse Bayesian networks via dynamic programming with parent set constraints.

Autoren: Sharma, Nand Millstein, Joshua

Quelle: PLoS ONE; 6/10/2025, Vol. 20 Issue 6, p1-21, 21p

Schlagwörter: BAYESIAN analysis, DYNAMIC programming, CANCER genes, SURVIVAL rate, PERSONAL computers

A Dynamic Programming Algorithm for Finding an Optimal Sequence of Informative Measurements.

Autoren: Loxley, Peter N. Cheung, Ka-Wai

Quelle: Entropy; Feb2023, Vol. 25 Issue 2, p251, 25p

Schlagwörter: DYNAMIC programming, GAUSSIAN processes, ALGORITHMS, MARKOV processes, AUTONOMOUS robots, REINFORCEMENT learning

Metalearning of time series: an approximate dynamic programming approach.

Autoren: Collado, Ricardo A. Creamer, Germán G.

Quelle: Quantitative Finance; Apr2023, Vol. 23 Issue 4, p539-551, 13p

Schlagwörter: DYNAMIC programming, TIME series analysis, FORECASTING

Optimal Energy-Aware Scheduling of Heterogeneous Jobs with Monotonically Increasing Slot Costs.

Autoren: Zhao, Lin Fu, Hao Su, Mu

Quelle: Symmetry (20738994); Jul2025, Vol. 17 Issue 7, p980, 20p

Schlagwörter: ASSIGNMENT problems (Programming), DYNAMIC programming, MANUFACTURING processes, ENERGY industries, COMPUTER systems

A Nonconvex Regularization Scheme for the Stochastic Dual Dynamic Programming Algorithm.

Autoren: Bhattacharya, Arnab Kharoufeh, Jeffrey P. Zeng, Bo

Quelle: INFORMS Journal on Computing; Sep/Oct2023, Vol. 35 Issue 5, p1161-1178, 18p

Schlagwörter: DYNAMIC programming, STOCHASTIC programming, DATA libraries, ALGORITHMS, CONCAVE functions

GNSSseg, a Statistical Method for the Segmentation of Daily GNSS IWV Time Series.

Autoren: Quarello, Annarosa Bock, Olivier Lebarbier, Emilie

Quelle: Remote Sensing; Jul2022, Vol. 14 Issue 14, pN.PAG-N.PAG, 22p

Schlagwörter: DYNAMIC programming, WATER vapor, DATA analysis, COMPUTER simulation, ALGORITHMS

A Mode of Intelligent Equipment Monitoring Optimization Based on Dynamic Programming Algorithm.

Autoren: Zheng, Zhilei Jiang, Chuan

Quelle: Computational Intelligence & Neuroscience; 3/18/2022, p1-11, 11p

Schlagwörter: DYNAMIC programming, ALGORITHMS, CITY dwellers, COMPUTER software development, TIME series analysis, SWARM intelligence, DIGITAL communications

Single-machine scheduling with multi-agents to minimize total weighted late work.

Autoren: Li, Shi-Sheng Yuan, Jin-Jiang

Quelle: Journal of Scheduling; Aug2020, Vol. 23 Issue 4, p497-512, 16p

Schlagwörter: STATISTICAL decision making, DYNAMIC programming, COST functions, SCHEDULING, ALGORITHMS

Data-driven modelling, analysis and improvement of multistage production systems with predictive maintenance and product quality.

Autoren: Cui, Peng-Hao Wang, Jun-Qiang Li, Yang

Quelle: International Journal of Production Research; Nov2022, Vol. 60 Issue 22, p6848-6865, 18p, 4 Diagrams, 8 Charts, 3 Graphs

Schlagwörter: PRODUCT quality, TECHNOLOGICAL innovations, PRODUCTION losses, SYSTEM failures, BOTTLENECKS (Manufacturing), DYNAMIC programming, MAINTENANCE

Stochastic optimal dispatch of PV/wind/ diesel/battery microgrids using state-space approximate dynamic programming.

Autoren: Shunjiang Lin Yaping Wang Mingbo Liu et al.

Quelle: IET Generation, Transmission & Distribution (Wiley-Blackwell); 2019, Vol. 13 Issue 15, p3409-3420, 12p, 4 Diagrams, 6 Charts, 14 Graphs

Schlagwörter: STOCHASTIC programming, DYNAMIC programming, MICROGRIDS, NONCONVEX programming, PARALLEL programming, DIESEL electric power-plants