Results 11 to 20 of about 14,107 (216)
Link Scheduling for Wireless Mesh Networks Considering Gateway Feature [PDF]
EAI Endorsed Transactions on Internet of Things, 2020 Based on different objectives, a variety of mathematical models for the wireless mesh network (WMNs) exist. Among them, the link scheduling model for WMNs aims at finding a data transmission schedule based on network links so that some ...
Chun-Cheng Lin +2 more
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Approximate Dynamic Programming Methodology for Data-based Optimal Controllers
Revista Iberoamericana de Automática e Informática Industrial RIAI, 2019 In this article, we present a methodology for learning data-based approximately optimal controllers, within the context of learning and approximate dynamic programming.
Henry Díaz +2 more
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Social Sciences and Humanities Open, 2022 Discrete-choice life cycle models of labor supply can be used to estimate how social security reforms influence employment rate. In a life cycle model, optimal employment choices during the life course of an individual must be solved.
Antti J. Tanskanen
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Tuning approximate dynamic programming policies for ambulance redeployment via direct search
Stochastic Systems, 2014 In this paper we consider approximate dynamic programming methods for ambulance redeployment. We first demonstrate through simple examples how typical value function fitting techniques, such as approximate policy iteration and linear programming, may not
Matthew S. Maxwell +2 more
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Journal of Advanced Transportation, 2022 The bicycle, an active transportation mode, has received increasing attention as an alternative in urban environments worldwide. However, effectively managing the stock levels of rental bicycles at each station is challenging as demand levels vary with ...
Young-Hyun Seo +4 more
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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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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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