Search Results - approximate statistical dynamic programming algorithm*

Simulation Analysis for UAV Search Algorithm Design Using Approximate Dynamic Programming

Authors: Flint, Matthew Fernandez, Emmanuel Kelton, W. David

Source: Military Operations Research, 2009 Jan 01. 14(2), 41-50.

Access URL: https://www.jstor.org/stable/43941127

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

Solving the military medical evacuation dispatching, preemptive rerouting, redeploying, and delivering problem via tree-based machine learning and approximate dynamic programming approaches.

Authors: Frial, Virbon B. Robbins, Matthew J. Jenkins, Phillip R.

Source: Expert Systems with Applications. Nov2025, Vol. 292, pN.PAG-N.PAG. 1p.

Subject Terms: *DYNAMIC programming, *MARKOV processes, *RANDOM forest algorithms, *TRANSPORTATION of patients, *ROUTING algorithms, *ENSEMBLE learning, *MACHINE learning, UNITED States armed forces

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

Authors: Hinz, Juri Tarnopolskaya, Tanya Yee, Jeremy

Source: Annals of Operations Research. Mar2020, Vol. 286 Issue 1/2, p583-615. 33p.

Subject Terms: *DYNAMIC programming, *STATISTICAL decision making, *ALGORITHMS, *NATURAL resources, *MARKOV processes

An approximate dynamic programming approach to project scheduling with uncertain resource availabilities.

Authors: Xie, Fang Li, Haitao Xu, Zhe

Source: Applied Mathematical Modelling. Sep2021, Vol. 97, p226-243. 18p.

Subject Terms: *DYNAMIC programming, *STATISTICAL decision making, *MARKOV processes, *SCHEDULING, *HEURISTIC algorithms

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

Authors: Mengmeng Bai Rui Zhu Jianxin Guo et al.

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

Subject Terms: 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

Access URL: https://doaj.org/article/1b13aa4558a749f69de123006e39486f

An approximate dynamic programming approach for collaborative caching.

Authors: Yang, Xinan Thomos, Nikolaos

Source: Engineering Optimization. Jun2021, Vol. 53 Issue 6, p1005-1023. 19p.

Subject Terms: *DYNAMIC programming, *STATISTICAL decision making, *CACHE memory, *MATHEMATICAL optimization, *MARKOV processes, *NP-hard problems

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

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

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

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

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

Approximate dynamic programming methods in Bayesian preference elicitation.

Authors: Fisher, William Zhang, Qiong Song, Yongjia

Source: Quality Engineering. 2025, Vol. 37 Issue 3, p475-492. 18p.

Subject Terms: *DECISION making, *QUESTIONNAIRES, *UTILITY functions, *SIMULATION methods & models, *BAYESIAN analysis, GREEDY algorithms, EXPERIMENTAL design

Adaptive dynamic programming-based hierarchical decision-making of non-affine systems.

Authors: Lin, Danyu Xue, Shan Liu, Derong et al.

Source: Neural Networks. Oct2023, Vol. 167, p331-341. 11p.

Subject Terms: *DYNAMIC programming, *STATISTICAL decision making, *DECISION making, *SYSTEM dynamics, *MULTIPLAYER games

Integrated day-ahead and intraday self-schedule bidding for energy storage systems using approximate dynamic programming.

Authors: Finnah, Benedikt Gönsch, Jochen Ziel, Florian

Source: European Journal of Operational Research. Sep2022, Vol. 301 Issue 2, p726-746. 21p.

Subject Terms: *DYNAMIC programming, *STATISTICAL decision making, *NUCLEAR power plants, *ELECTRICITY pricing, *MARKET prices, *BATTERY storage plants, ENERGY storage

Geographic Terms: GERMANY

Inpatient Overflow: An Approximate Dynamic Programming Approach.

Authors: Dai, J. G. Shi, Pengyi

Source: Manufacturing & Service Operations Management (M&SOM). Fall2019, Vol. 21 Issue 4, p894-911. 18p.

Subject Terms: *DYNAMIC programming, *STATISTICAL decision making, *DECISION making, FLUID control, CO-sleeping

MULTISTAGE STOCHASTIC DECOMPOSITION: A BRIDGE BETWEEN STOCHASTIC PROGRAMMING AND APPROXIMATE DYNAMIC PROGRAMMING.

Authors: SUVRAJEET SEN ZHIHONG ZHOU

Source: SIAM Journal on Optimization. 2014, Vol. 24 Issue 1, p127-153. 27p.

Subject Terms: *STOCHASTIC programming, *STATISTICAL sampling, *MATHEMATICAL decomposition, *DYNAMIC programming, *APPROXIMATION algorithms

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

Authors: Hinz, J Tarnopolskaya, T Yee, J

Index Terms: 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

EFFICIENT NEURAL NETWORK APPROACHES FOR CONDITIONAL OPTIMAL TRANSPORT WITH APPLICATIONS IN BAYESIAN INFERENCE.

Authors: ZHEYU OLIVER WANG BAPTISTA, RICARDO MARZOUK, YOUSSEF et al.

Source: SIAM Journal on Scientific Computing. 2025, Vol. 47 Issue 4, pC979-C1005. 27p.

Subject Terms: *ARTIFICIAL neural networks, *BAYESIAN field theory, *DYNAMIC programming, *STATISTICAL sampling, *MATHEMATICAL optimization, *NUMERICAL analysis, *MAXIMUM likelihood statistics

Error analysis for approximate CVaR-optimal control with a maximum cost.

Authors: Arsenault, Evan Chapman, Margaret P

Source: IMA Journal of Mathematical Control & Information. Jun2025, Vol. 42 Issue 2, p1-36. 36p.

Subject Terms: *VALUE at risk, *OPTIMAL control theory, *ERROR analysis in mathematics, *INTERPOLATION, *STATISTICAL sampling, *MANAGEMENT science, *HILBERT space, *DYNAMIC programming

Approximate Dynamic Programming : Solving the Curses of Dimensionality

Authors: Warren B. Powell

Resource Type: eBook.

Subjects: Dynamic programming

Categories: MATHEMATICS / Probability & Statistics / General

Deep neural networks algorithms for stochastic control problems on finite horizon: convergence analysis

Authors: Huré, Côme Pham, Huyên Bachouch, Achref et al.

Contributors: Huré, Côme Pham, Huyên Bachouch, Achref et al.

Source: ISSN: 0036-1429 ; SIAM Journal on Numerical Analysis ; https://hal.science/hal-01949213 ; SIAM Journal on Numerical Analysis, 2021, 59 (1), pp.525-557. ⟨10.1137/20M1316640⟩.

Subject Terms: performance iteration, quantization, Deep learning, dynamic programming, regress now, convergence analysis, statistical risk AMS subject classifications. 65C05, 90C39, 93E35, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1812.04300; ARXIV: 1812.04300

Availability: https://hal.science/hal-01949213
https://hal.science/hal-01949213v2/document
https://hal.science/hal-01949213v2/file/deepconsto_sinum_final.pdf
https://doi.org/10.1137/20M1316640

On the use of transport and optimal control methods for Monte Carlo simulation

Authors: Heng, Jeremy Doucet, Arnaud

Contributors: Heng, Jeremy Doucet, Arnaud

Subject Terms: 519.5, Transport theory--Statistical methods, Optimal control, Normalizing constants, Sequential Monte Carlo, Approximate dynamic programming, Monte Carlo, Mass transport, Annealed importance sampling, Reinforcement learning, Markov chain Monte Carlo

Access URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740797