Výsledky vyhľadávania - approximate statistical dynamic programming algorithm

Energy-Efficient Transmission Strategy for Delay Tolerable Services in NOMA-Based Downlink With Two Users Autor Bai, Mengmeng, Zhu, Rui, Guo, Jianxin, Wang, Feng, Wang, Liping, Zhu, Hangjie, Huang, Lei, Zhang, Yushuai

“… Secondly, we propose to use Approximate Statistical Dynamic Programming (ASDP) algorithm, Deep Deterministic Policy Gradient (DDPG…”
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Energy-efficient power control strategy of the delay tolerable service based on the reinforcement learning Autor Bai, Mengmeng, Zhu, Rui, Guo, Jianxin, Wang, Feng, Zhu, Hangjie, Zhang, Yushuai

“…) services by allocating resources based on the time-domain water-filling algorithm. We first transform the non-convex problem of maximizing EE into a convex problem…”
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New integer optimization models and an approximate dynamic programming algorithm for the lot-sizing and scheduling problem with sequence-dependent setups Autor Lee, Younsoo, Lee, Kyungsik

“…•An ADP algorithm based on the time-flow model is also proposed.•The proposed algorithm shows computational benefits over the standard MIP solver…”
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Application of quantum approximate optimization algorithm to job shop scheduling problem Autor Kurowski, Krzysztof, Pecyna, Tomasz, Slysz, Mateusz, Różycki, Rafał, Waligóra, Grzegorz, Wȩglarz, Jan

“…•Demonstrate how to efficiently apply Quantum Approximate Optimization Algorithm (QAOA…”
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A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments Autor Harman, Radoslav, Filová, Lenka, Richtárik, Peter

“…We propose a class of subspace ascent methods for computing optimal approximate designs that covers existing algorithms as well as new and more efficient ones…”
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A simulation-based approximate dynamic programming approach to dynamic and stochastic resource-constrained multi-project scheduling problem Autor Satic, U., Jacko, P., Kirkbride, C.

“… We use an approximate dynamic programming algorithm (ADP) with a linear approximation model which can be used for online decision making…”
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Surgical scheduling under uncertainty by approximate dynamic programming Autor 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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Approximate dynamic programming for an energy-efficient parallel machine scheduling problem Autor Heydar, Mojtaba, Mardaneh, Elham, Loxton, Ryan

“…•An approximate dynamic programming approach is proposed.•A new binary program for solving the optimization problem at each state is proposed…”
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A fix and optimize method based approximate dynamic programming approach for the strategic fleet sizing and delivery planning problem Autor Aghazadeh, Duygu, Ertogral, Kadir

“… In this study, we suggest an approximate Dynamic Programming algorithm, with a look ahead strategy, that uses the fix and optimize method as the imbedded heuristic for solving integrated fleet…”
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Approximate dynamic programming methods in Bayesian preference elicitation Autor Fisher, William, Zhang, Qiong, Song, Yongjia

“…Bayesian preference elicitation is a statistical framework which can aid in complex decision making processes such as engineering design by offering preference-informed recommendations to a decision maker (DM…”
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Approximate dynamic programming for pickup and delivery problem with crowd-shipping Autor 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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Gaussian Process Approximate Dynamic Programming for Energy-Optimal Supervisory Control of Parallel Hybrid Electric Vehicles Autor Bae, Jin Woo, Kim, Kwang-Ki K.

“…We propose an energy-efficient supervisory control method for the power management of parallel hybrid electric vehicles (HEVs) to improve the fuel economy and…”
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A Bayesian Machine Learning Approach for Optimizing Dynamic Treatment Regimes Autor Murray, Thomas A., Yuan, Ying, Thall, Peter F.

“… These decisions can be formalized as a dynamic treatment regime. This article describes a new approach for optimizing dynamic treatment regimes, which bridges the gap between Bayesian inference and existing approaches, like Q-learning…”
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Performance Analysis of RIS-Aided THz Wireless Systems over α-μ Fading: An Approximate Closed-Form Approach Autor Le, Ngoc Phuc, Alouini, Mohamed-Slim

“… variates based on the Gauss-Laguerre quadrature and a moment-matching method. This approximate approach facilitates analysis of the RIS-THz system over α-μ fading channels…”
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Maximizing Net Present Value for Resource Constraint Project Scheduling Problems with Payments at Event Occurrences Using Approximate Dynamic Programming Autor Phuntsho, Tshewang, Gonsalves, Tad

“… Alternatively, approximate dynamic programming (ADP) sequentially generates a schedule based on strategies computed via Monte Carlo (MC) simulations…”
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Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems Autor Liu, Derong, Wang, Ding, Wang, Fei-Yue, Li, Hongliang, Yang, Xiong

“…In this paper, the infinite horizon optimal robust guaranteed cost control of continuous-time uncertain nonlinear systems is investigated using…”
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An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents Autor Monaci, Marta, Agasucci, Valerio, Grani, Giorgio

“… In this work, we present a method that applies Deep Reinforcement Learning, an approximate dynamic programming procedure using deep neural networks, to the job shop scheduling problem (JSSP…”
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Efficient algorithms of pathwise dynamic programming for decision optimization in mining operations Autor Hinz, Juri, Tarnopolskaya, Tanya, Yee, Jeremy

“… We describe efficient algorithms for obtaining approximate solutions along with a diagnostic technique, which provides a quantitative measure for solution performance in terms of the distance…”
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Balancing resources for dynamic vehicle routing with stochastic customer requests Autor Soeffker, Ninja, Ulmer, Marlin W, Mattfeld, Dirk C

“… During execution, new dynamic service requests occur, e.g., for parcel pickup. The goal of the service provider is to serve as many dynamic requests as possible while ensuring service of all initial customers…”
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Reinforcement learning with dynamic convex risk measures Autor Coache, Anthony, Jaimungal, Sebastian

“…‐consistent dynamic programming principle to determine the value of a particular policy, and develop policy gradient update rules that aid in obtaining optimal policies…”
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