Search Results - state-space approximate dynamic programming algorithm*

Progressive State Space Disaggregation for Infinite Horizon Dynamic Programming

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

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

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

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

File Description: application/pdf

Multiclass Queue Scheduling Under Slowdown: An Approximate Dynamic Programming Approach

Authors: Dong, Jing Görgülü, Berk Sarhangian, Vahid

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

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

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

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

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

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

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

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

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

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

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

Authors: Shunjiang Lin Yaping Wang Mingbo Liu et al.

Source: IET Generation, Transmission & Distribution. 13:3409-3420

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

Access 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

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

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

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

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

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

Authors: Liu, Wenjia Liu, Jida Niu, Zhipeng

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

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

Two Approximate Dynamic Programming Algorithms for Managing Complete SIS Networks

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

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

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

Subject Terms: 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

File Description: application/pdf

Access 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

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

Authors: Aouad, Ali Segev, Danny

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

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

Anticipatory scheduling of synchromodal transport using approximate dynamic programming.

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

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

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

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

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

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

Subject Terms: DYNAMIC programming, ENVIRONMENTAL protection, ELECTRONIC data processing, ALGORITHMS, GASES

Two approximate dynamic programming algorithms for managing complete SIS networks

Authors: Zegura, E Anderson, R Subramanian, L et al.

Source: Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS 2018)

Index Terms: Chapter in Book, Report or Conference volume

URL: https://eprints.qut.edu.au/119550/1/peron%20et%20al%202018%20COMPASS.pdf
https://eprints.qut.edu.au/119550/1/peron%20et%20al%202018%20COMPASS.pdf
doi:10.1145/3209811.3209814
Peron, Martin Brice, Bartlett, Peter, Becker, Kai, Helmstedt, Kate, & Chades, Iadine (2018) Two approximate dynamic programming algorithms for managing complete SIS networks. In Zegura, E, Anderson, R, & Subramanian, L (Eds.) Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS 2018). Association for Computing Machinery, United States of America, pp. 1-10.

Approximate dynamic programming for stochastic linear control problems on compact state spaces

Authors: Rico Zenklusen Apostolos Fertis Stefan Woerner et al.

Source: European Journal of Operational Research. 241:85-98

Subject Terms: 0209 industrial biotechnology, 0211 other engineering and technologies, 02 engineering and technology

A quantum-inspired approximate dynamic programming algorithm for unit commitment problems considering wind power

Authors: Hua Qin Hua Wei

Source: 2017 IEEE International Conference on Smart Grid and Smart Cities (ICSGSC). :94-98

Subject Terms: 2. Zero hunger, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Access URL: https://ieeexplore.ieee.org/document/8038556/

Faster Approximate Dynamic Programming by Freezing Slow States

Authors: Wang, Yijia Jiang, Daniel R.

Index Terms: Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/2301.00922

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

Authors: Phuntsho, Tshewang Gonsalves, Tad

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

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

State-space approximate dynamic programming for stochastic unit commitment

Authors: Daniel Nikovski Weihong Zhang

Source: 2011 North American Power Symposium. :1-7

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://www.merl.com/publications/docs/TR2011-046.pdf
https://ieeexplore.ieee.org/document/6025113/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006025113

Approximate dynamic programming for revenue management in attended home delivery

Authors: Lebedev, Denis Margellos, Kostas Goulart, Paul

Contributors: Lebedev, Denis Margellos, Kostas Goulart, Paul

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

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

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

Authors: Kamble, Vijay Loiseau, Patrick Walrand, Jean

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

Subject Terms: DYNAMIC programming, MACHINE learning, ARTIFICIAL intelligence, ONLINE algorithms, GAMES

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

Authors: Aghazadeh, Duygu Ertogral, Kadir

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

Subject Terms: INVENTORY costs, OPERATING costs, DYNAMIC programming, DISTRIBUTION costs, PRODUCT costing