Results 31 to 40 of about 415 (209)
A reinforcement learning approach to the stochastic cutting stock problem
EURO Journal on Computational Optimization, 2022 We propose a formulation of the stochastic cutting stock problem as a discounted infinite-horizon Markov decision process. At each decision epoch, given current inventory of items, an agent chooses in which patterns to cut objects in stock in ...
Anselmo R. Pitombeira-Neto +1 more
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Approximate Dynamic Programming [PDF]
, 2018 This chapter contains a brief review of dynamic programming in continuous time and space. In particular, traditional dynamic programming algorithms such as policy iteration, value iteration, and actor-critic methods are presented in the context of continuous-time optimal control.
Rushikesh Kamalapurkar +3 more
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Energies, 2015 Recently, the optimization of power flows in portable hybrid power-supply systems (HPSSs) has become an important issue with the advent of a variety of mobile systems and hybrid energy technologies.
Jooyoung Park +3 more
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The Long-Term Optimization Model of Pumped-Hydro Power Storage System Based on Approximate Dynamic Programming [PDF]
E3S Web of Conferences, 2021 Based on the hypothesis that pumped storage power station is available for multi-day optimization and adjustment, the paper has proposed a long-term operation optimization model of pumped-hydro power storage (PHPS) system based on approximate dynamic ...
Liang Zhencheng +4 more
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Advances in Mechanical Engineering, 2018 Approximate dynamic programming is an effective optimal control method. This article researches a data-driven approximate dynamic programming. The method is extended to a nonlinear multi-input multi-output form.
Zhijian Huang +6 more
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State of the Art of Adaptive Dynamic Programming and Reinforcement Learning
CAAI Artificial Intelligence Research, 2022 This article introduces the state-of-the-art development of adaptive dynamic programming and reinforcement learning (ADPRL). First, algorithms in reinforcement learning (RL) are introduced and their roots in dynamic programming are illustrated.
Derong Liu, Mingming Ha, Shan Xue
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The Linear Programming Approach to Approximate Dynamic Programming [PDF]
Operations Research, 2003 The curse of dimensionality gives rise to prohibitive computational requirements that render infeasible the exact solution of large-scale stochastic control problems. We study an efficient method based on linear programming for approximating solutions to such problems.
Daniela Pucci de Farias +1 more
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Approximate dynamic programming for container stacking
European Journal of Operational Research, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
René Boschma +2 more
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Approximate Dynamic Programming Based Control of Proppant Concentration in Hydraulic Fracturing
Mathematics, 2018 Hydraulic fracturing has played a crucial role in enhancing the extraction of oil and gas from deep underground sources. The two main objectives of hydraulic fracturing are to produce fractures with a desired fracture geometry and to achieve the target ...
Harwinder Singh Sidhu +2 more
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Application of Differential Games in Mechatronic Control System
International Journal of Applied Mechanics and Engineering, 2016 Differential games are a combination of game theory and optimum control methods. Their solutions are based on Bellman's principle of optimality. In this paper, the zero-sum differential game theory has been used for the purposes of controlling a ...
Z. Hendzel, P. Penar
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