Search Results - state-space approximate dynamic programming algorithm*

Stochastic optimal dispatch of PV/wind/diesel/battery microgrids using state-space approximate dynamic programming by Lin, Shunjiang, Wang, Yaping, Liu, Mingbo, Fan, Guansheng, Yang, Zhibin, Li, Qifeng

“…) model to reduce the computational complexity. The state-space approximate dynamic programming algorithm is adopted…”
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Stochastic optimal dispatch of offshore-onshore regional integrated energy system based on improved state-space approximate dynamic programming by Pan, Yue, Lin, Shunjiang, Liang, Weikun, Feng, Xiangyong, Sheng, Xuan, Liu, Mingbo

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Stochastic Optimal Dispatch of Integrated Energy Campus Microgrids Considering the Time-Delay of Pipelines by Liang, Weikun, Lin, Shunjiang, Sheng, Xuan, Tang, Zhiqiang

“… The State-space approximate dynamic programming (SS-ADP) algorithm is adopted to solve the stochastic optimal dispatch model…”
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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.

“… Dynamic programming is an ideal method for optimally solving such problems but agricultural problems are often subject to additional complexities that produce state spaces intractable to exact solutions…”
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A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs by Haskell, William B., Jain, Rahul, Sharma, Hiteshi, Yu, Pengqian

“…) algorithms for Markov decision processes. The "empirical" nature comes from each iteration being done empirically from samples available from simulations of the next state…”
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Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization by Chen, Ying, Liu, Feng, Rosenberger, Jay M., Chen, Victoria C.P., Kulvanitchaiyanunt, Asama, Zhou, Yuan

“…•A sequential sampling algorithm for the infinite-horizon approximate dynamic programming is proposed…”
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Data mining for state space orthogonalization in adaptive dynamic programming by Ariyajunya, Bancha, Chen, Ying, Chen, Victoria C.P., Kim, Seoung Bum

“…•Data mining techniques are employed to orthogonalize a multicollinear state space…”
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Approximate dynamic programming for missile defense interceptor fire control by Davis, Michael T., Robbins, Matthew J., Lunday, Brian J.

“…•We use approximate dynamic programming to obtain high quality fire control policies.•In a representative scenario, our policy achieves a 7.74…”
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Exact and Approximate Algorithms for Stochastic Production Inventory Problems Subject to Congestion by Balan, Srinivasan

“…Multi-period capacitated production inventory problems are computationally challenging. These problems have been researched extensively, and various…”
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Specialized Interior-Point Algorithm for Stable Nonlinear System Identification by Umenberger, Jack, Manchester, Ian R.

“… Recently Lagrangian relaxation has been proposed as a method to approximate simulation fidelity and guarantee stability via semidefinite programming (SDP…”
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Detection of Multiple Structural Breaks in Large Covariance Matrices by Li, Yu-Ning, Li, Degui, Fryzlewicz, Piotr

“…This article studies multiple structural breaks in large contemporaneous covariance matrices of high-dimensional time series satisfying an approximate factor model…”
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Decentralized Event-Triggered Adaptive Dynamic Programming Approach for Electric-Gas Coupling Energy Systems With Partially Unknown Dynamics by Su, Hanguang, Liu, Fan, Zhang, Huaguang, Sun, Qiuye, Zhang, Dongyuan, Wang, Jiawei

“… event-triggered mechanism and adaptive dynamic programming techniques. Initially, the complex electric-gas coupling network is modeled in the state-space form…”
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Management of a stage-structured insect pest: an application of approximate optimization by Hackett, Sean C., Bonsall, Michael B.

“… Approximate dynamic programming (ADP) provides a suite of methods applicable to problems of arbitrary complexity at the expense of guaranteed optimality…”
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Perspectives of approximate dynamic programming by Powell, Warren B.

“…Approximate dynamic programming has evolved, initially independently, within operations research, computer science and the engineering controls community, all searching for practical tools for solving…”
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Natural actor–critic algorithms by Bhatnagar, Shalabh, Sutton, Richard S., Ghavamzadeh, Mohammad, Lee, Mark

“… are updated by stochastic gradient descent. Methods based on policy gradients in this way are of special interest because of their compatibility with function-approximation methods, which are needed to handle large or infinite state spaces…”
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State-space approximate dynamic programming for stochastic unit commitment by Weihong Zhang, Nikovski, Daniel

“… In this paper we propose a state space approximate dynamic programming algorithm to solve such models…”
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Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Admissibility and Termination Analysis by Wei, Qinglai, Liu, Derong, Lin, Qiao

“…In this paper, a novel local value iteration adaptive dynamic programming (ADP) algorithm is developed to solve infinite horizon optimal control problems for discrete-time nonlinear systems…”
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Kernel-Based Least Squares Policy Iteration for Reinforcement Learning by Xu, Xin, Hu, Dewen, Lu, Xicheng

“…) in large or continuous state spaces, which can be used to realize adaptive feedback control of uncertain dynamic systems…”
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Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Convergence Analysis by Wei, Qinglai, Lewis, Frank L., Liu, Derong, Song, Ruizhuo, Lin, Hanquan

“…In this paper, convergence properties are established for the newly developed discrete-time local value iteration adaptive dynamic programming (ADP) algorithm…”
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Progressive State Space Disaggregation for Infinite Horizon Dynamic Programming by Forghieri, Orso, Castel, Hind, Hyon, Emmanuel, Pennec, Erwan Le

“…High dimensionality of model-based Reinforcement Learning and Markov Decision Processes can be reduced using abstractions of the state and action spaces…”
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