Search Results - "approximate dynamic programming"

Optimal Management for Parking-Lot Electric Vehicle Charging by Two-Stage Approximate Dynamic Programming by Zhang, Lei, Li, Yaoyu

“… as highly dynamic electricity price. A two-stage approximate dynamic programming framework is proposed to determine the optimal charging strategy, utilizing the predicted short-term future information and long-term estimation from historical data…”
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Surgical scheduling under uncertainty by approximate dynamic programming by Silva, Thiago A.O., de Souza, Mauricio C.

“…•We propose approximate dynamic programming with integer programming model.•It meets practical needs of monitoring surgical scheduling on the short-term…”
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Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming by Forootani, Ali, Iervolino, Raffaele, Tipaldi, Massimo, Dey, Subhrakanti

“…In this paper, we consider a remote estimation problem where multiple dynamical systems are observed by smart sensors, which transmit their local estimates to…”
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An approximate dynamic programming approach for multi-stage stochastic lot-sizing under a Decision–Hazard–Decision information structure by Spitzer, Victor, Gicquel, Céline, Gurevsky, Evgeny, Sanson, François

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Approximate dynamic programming for pickup and delivery problem with crowd-shipping by Mousavi, Kianoush, Bodur, Merve, Cevik, Mucahit, Roorda, Matthew J.

“… of orders to crowd-shippers. We formulate the problem as a Markov decision process and develop an Approximate Dynamic Programming (ADP…”
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Adaptive network traffic control with approximate dynamic programming based on a non-homogeneous Poisson demand model by Chen, Siqi, Lü, Xing

“… Leveraging approximate dynamic programming with recursive least squares-temporal difference learning, we achieve adaptive optimal policies…”
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An aggregation-based approximate dynamic programming approach for the periodic review model with random yield by Voelkel, Michael A., Sachs, Anna-Lena, Thonemann, Ulrich W.

“… During transit, orders get damaged with some probability, that is, the order is subject to random yield…”
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An approximate dynamic programming approach to network-based scheduling of chemotherapy treatment sessions by Wenzel, Arturo, Sauré, Antoine, Cataldo, Alejandro, Rey, Pablo A., Sánchez, César

“… This network-based scheduling procedure is subject to the condition that both the first and last sessions of a patient's treatment protocol are administered at the same centre the patient is referred…”
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Improving scholarship assignment using approximate dynamic programming: A Chilean case study by Redondo, Sofía, Cataldo, Alejandro, Marquinez, José Tomás, Rey, Pablo A., Sauré, Antoine

“… The problem objective is to maximize the sum of the scores of accepted applicants subject to two conditions: (1…”
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Insect pest control, approximate dynamic programming, and the management of the evolution of resistance by Hackett, Sean C., Bonsall, Michael B.

“… In contrast, look-ahead policies, a class of approximate dynamic programming (ADP) algorithm, may attempt to solve problems of arbitrary magnitude…”
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A daytime optimal stochastic energy management for EV commercial parking lots by using approximate dynamic programming and hybrid big bang big crunch algorithm by Sedighizadeh, Mostafa, Mohammadpour, Amirhosein, Alavi, Seyed Mohammad Mahdi

“…•Proposing an optimal dynamic resource allocation system for commercial EV parking lots.•Combining both mathematical (i.e., ADP) and heuristic (i.e., HBB-BC)…”
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Global optimality of approximate dynamic programming and its use in non-convex function minimization by Heydari, Ali, Balakrishnan, S.N.

“…}. The red plus signs denote the initial point of the respective trajectory. This study investigates the global optimality of approximate dynamic programming (ADP…”
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Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints by Liu, Derong, Yang, Xiong, Wang, Ding, Wei, Qinglai

“… In this paper, a novel RL-based robust adaptive control algorithm is developed for a class of continuous-time uncertain nonlinear systems subject to input constraints…”
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Simulation-Based Methods for Approximate Dynamic Programming: Applications to Cognitive Radar and Risk-Sensitive Control by Rybicki, Brian William

“…This dissertation considers several applications of approximate dynamic programming…”
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Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis by Wen, Yue, Si, Jennie, Brandt, Andrea, Gao, Xiang, Huang, He Helen

“… may result in a curse of dimensionality, and the human-prosthesis system is constantly subject…”
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Data-driven optimization for ride-sourcing vehicle dispatching and relocation under demand and travel time uncertainty by Huang, Yunping, Zheng, Nan, Huang, Zheng, Liang, Enming, Hsu, Shu-Chien, Zhong, Renxin

“…) to reduce the dimension of the problem. However, uncertain demand and dynamic travel time subject to traffic congestion can significantly affect optimal solutions…”
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Replacement and Repair Optimization for Production Systems Under Random Production Waits by Hu, Jiawen, Sun, Qiuzhuang, Ye, Zhi-Sheng

“…This study considers a repairable production system operated under an age-based preventive replacement policy that is subject to independent random production waits and failures…”
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A model-based deep reinforcement learning method applied to finite-horizon optimal control of nonlinear control-affine system by Kim, Jong Woo, Park, Byung Jun, Yoo, Haeun, Oh, Tae Hoon, Lee, Jay H., Lee, Jong Min

“…•A model-based deep reinforcement learning (DRL) algorithm, which solves the Hamilton–Jacobi–Bellman equation for finite-horizon optimal control of nonlinear…”
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Convergence analysis of the deep neural networks based globalized dual heuristic programming by Kim, Jong Woo, Oh, Tae Hoon, Son, Sang Hwan, Jeong, Dong Hwi, Lee, Jong Min

“…Globalized dual heuristic programming (GDHP) algorithm is a special form of approximate dynamic programming (ADP…”
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An Approximate Dynamic Programming Approach to Future Navy Fleet Investment Assessments by Powers, Matthew J

“…Navy decision makers and program sponsors must decide on future investments in the context of forecasted threats and operating environments. Investment…”
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