Suchergebnisse - state‐space approximate (dynamic OR dynamik) programming algorithm*

Progressive State Space Disaggregation for Infinite Horizon Dynamic Programming

Autoren: Forghieri, Orso Castel, Hind Hyon, Emmanuel et al.

Weitere Verfasser: Forghieri, Orso Castel, Hind Hyon, Emmanuel et al.

Quelle: Proceedings of the International Conference on Automated Planning and Scheduling. 34:221-229

Schlagwörter: Approximate Dynamic Programming, Planning, Aggregated Markov Decision Process, [MATH] Mathematics [math], [INFO] Computer Science [cs], Markov Decision Process, Hierarchical

Dateibeschreibung: application/pdf

Provably efficient large-scale reinforcement learning via primal-dual stochastic optimization

Autoren: Okolo, Nneka

Weitere Verfasser: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Neu, Gergely

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Reinforcement learning, Linear programming, Stochastic optimization, Primal-dual methods, Online learning, Aprendizaje por refuerzo, Programación lineal, Optimización estocástica, Métodos primal-dual, Aprendizaje online

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/694221

​​Classified modeling and day-ahead optimal scheduling of multi-type adjustable industrial loads in industrial microgrid using improved approximate dynamic programming.

Autoren: Sun, Tao Yang, Ping Sun, Yingxuan et al.

Quelle: Scientific Reports; 11/21/2025, Vol. 15 Issue 1, p1-19, 19p

Schlagwörter: DYNAMIC programming, SCHEDULING, INDUSTRIAL energy consumption, SMART power grids, RENEWABLE energy sources, ENERGY demand management, EMPIRICAL research

Multiclass Queue Scheduling Under Slowdown: An Approximate Dynamic Programming Approach

Autoren: Dong, Jing Görgülü, Berk Sarhangian, Vahid

Index Begriffe: Mathematics - Optimization and Control, Electrical Engineering and Systems Science - Systems and Control, text

URL: http://arxiv.org/abs/2501.10523

Online social platform competition and rumor control in disaster scenarios: a zero-sum differential game approach with approximate dynamic programming.

Autoren: Liu, Wenjia Liu, Jida Niu, Zhipeng

Quelle: Complex & Intelligent Systems; Nov2025, Vol. 11 Issue 11, p1-21, 21p

Schlagwörter: SOCIAL media, DYNAMIC programming, COST effectiveness, INTERNET content moderation, EMERGENCY management, ARTIFICIAL neural networks, DIFFERENTIAL games, KNOWLEDGE transfer

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

Anticipatory scheduling of synchromodal transport using approximate dynamic programming.

Autoren: Rivera, Arturo E. Pérez Mes, Martijn R. K.

Quelle: Annals of Operations Research; Jul2025, Vol. 350 Issue 1, p95-129, 35p

Schlagwörter: DYNAMIC programming, SCHEDULING, DECISION making, CONTAINERIZATION, MARKOV processes, STOCHASTIC programming, HEURISTIC

The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation.

Autoren: Winnicki, Anna Lubars, Joseph Livesay, Michael et al.

Quelle: Operations Research. Jan/Feb2025, Vol. 73 Issue 1, p139-156. 18p.

Schlagwörter: *DYNAMIC programming, *MARKOV processes, REINFORCEMENT learning, MACHINE learning, SYSTEM dynamics

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. 13:3409-3420

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Zugangs-URL: https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-gtd.2018.5840
https://ieeexplore.ieee.org/document/8826749
https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.5840
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-gtd.2018.5840

Research on the remaining life prediction technology of environmentally friendly gas switchgear based on approximate dynamic programming.

Autoren: Zhang, Ziyu Ye, Yirong Xue, Lin et al.

Quelle: Frontiers in Energy Research; 2024, p1-10, 10p

Schlagwörter: DYNAMIC programming, ENVIRONMENTAL protection, ELECTRONIC data processing, ALGORITHMS, GASES

Technical Note--An Approximate Dynamic Programming Approach to the Incremental Knapsack Problem.

Autoren: Aouad, Ali Segev, Danny

Quelle: Operations Research. Jul/Aug2023, Vol. 71 Issue 4, p1414-1433. 20p.

Schlagwörter: *DYNAMIC programming, KNAPSACK problems, APPROXIMATION algorithms, BACKPACKS, OPEN-ended questions

Two Approximate Dynamic Programming Algorithms for Managing Complete SIS Networks

Autoren: Peron, Martin Brice Bartlett, Peter Becker, Kai et al.

Weitere Verfasser: Peron, Martin Brice Bartlett, Peter Becker, Kai et al.

Quelle: Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies. :1-10

Schlagwörter: 0106 biological sciences, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, 02 engineering and technology, 15. Life on land, 7. Clean energy, 01 natural sciences, 12. Responsible consumption

Dateibeschreibung: application/pdf

Zugangs-URL: https://eprints.qut.edu.au/119550/1/peron%20et%20al%202018%20COMPASS.pdf
https://dblp.uni-trier.de/db/conf/dev/compass2018.html#PeronBBHC18
https://dl.acm.org/doi/pdf/10.1145/3209811.3209814
https://doi.org/10.1145/3209811.3209814
https://eprints.qut.edu.au/119550/
https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/7249

Learning Decision Rules for a Stochastic Multiperiod Capacitated Traveling Salesperson Problem with Irregularly Clustered Customers.

Autoren: Mutailifu, Subei Brandimarte, Paolo Maimaiti, Aili

Quelle: Logistics (2305-6290); Sep2025, Vol. 9 Issue 3, p119, 24p

Schlagwörter: TRAVELING salesman problem, DYNAMIC programming, LOGISTICS, ROUTING algorithms, MATHEMATICAL optimization, MULTIPLE criteria decision making, SCHEDULING, STOCHASTIC programming

An Integrated Framework for Internal Replenishment Processes of Warehouses Using Approximate Dynamic Programming.

Autoren: Kalafat, İrem Hekimoğlu, Mustafa Yücekaya, Ahmet Deniz et al.

Quelle: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 14, p7767, 23p

Schlagwörter: WAREHOUSE management, DYNAMIC programming, DEMAND forecasting, SPARE parts, INVENTORY control, TRAFFIC congestion

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

Maximizing Net Present Value for Resource Constraint Project Scheduling Problems with Payments at Event Occurrences Using Approximate Dynamic Programming.

Autoren: Phuntsho, Tshewang Gonsalves, Tad

Quelle: Algorithms; May2024, Vol. 17 Issue 5, p180, 28p

Schlagwörter: NET present value, DYNAMIC programming, DISCOUNTED cash flow, ANT algorithms, DISTRIBUTION (Probability theory), METAHEURISTIC algorithms

Approximate dynamic programming for revenue management in attended home delivery

Autoren: Lebedev, Denis Margellos, Kostas Goulart, Paul

Weitere Verfasser: Lebedev, Denis Margellos, Kostas Goulart, Paul

Schlagwörter: 658.15, Pricing, Revenue management, Delivery of goods, Approximate computing, Electronic commerce

Zugangs-URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.833316

Dynamic resource levelling in projects under uncertainty.

Autoren: Li, Hongbo Zhang, Xianchao Sun, Jinshuai et al.

Quelle: International Journal of Production Research; Jan 2023, Vol. 61 Issue 1, p198-218, 21p, 3 Diagrams, 9 Charts, 4 Graphs

Schlagwörter: DYNAMIC programming, MARKOV processes, SCHEDULING, PROJECT management, METAHEURISTIC algorithms, ALGORITHMS, DISTRIBUTED algorithms, DECODING algorithms

An Approximate Dynamic Programming Approach to Repeated Games with Vector Losses.

Autoren: Kamble, Vijay Loiseau, Patrick Walrand, Jean

Quelle: Operations Research; Jan/Feb2024, Vol. 72 Issue 1, p373-388, 16p

Schlagwörter: DYNAMIC programming, MACHINE learning, ARTIFICIAL intelligence, ONLINE algorithms, GAMES

Approximate dynamic programming algorithms for multidimensional flexible production-inventory problems.

Autoren: Çimen, Mustafa Kirkbride, Chris

Quelle: International Journal of Production Research; Apr2017, Vol. 55 Issue 7, p2034-2050, 17p, 2 Diagrams, 2 Charts, 7 Graphs

Schlagwörter: DYNAMIC programming, ALGORITHMS, FLEXIBLE manufacturing systems, DECISION making, PROBLEM solving