Results 61 to 70 of about 709,572 (229)

IoT Fog Computing Optimization Method Based on Improved Convolutional Neural Network

IEEE Access
The rapid development of communication technology has promoted the development of the Internet of Things technology. It has resulted in a scarcity of computing resources for the Internet of Things devices, and limited the further development of the ...
Bing Jing, Huimin Xue
doaj   +1 more source

On stopping a Markov decision process [PDF]

, 1975
In this report the same situation will be considered as in Hordijk, Dynamic programrrdng and Markov potential theory [3], viz. a countable state space Markov decision process which can be stopped.
Groenewegen, L.P.J.
core  

The complexity of synchronizing Markov decision processes [PDF]

Journal of Computer and System Sciences, 2019
arXiv admin note: substantial text overlap with arXiv:1402.2840, arXiv:1310 ...
Thierry Massart, Mahsa Shirmohammadi, Mahsa Shirmohammadi, Laurent Doyen   +3 more
openaire   +5 more sources

Data-Driven Iron and Steel Inventory Control Policies

Mathematics, 2019
In this study, we investigated the optimal material inventory policy with regard to the iron and steel industry’s effort to reduce massive overstocking issues in the face of increased corporate competitiveness.
Shih-Hsien Tseng, Jia-Chen Yu
doaj   +1 more source

Optimal Raw Material Inventory Analysis Using Markov Decision Process with Policy Iteration Method

JTAM (Jurnal Teori dan Aplikasi Matematika), 2022
Inventory of raw materials is a big deal in every production process, both in company production and home business production. In order to meet consumer demand, a business must be able to determine the amount of inventory that should be provided.
Ikhsan Maulidi, Radhiah Radhiah, Chintya Hayati, Vina Apriliani   +3 more
doaj   +1 more source

A Quantum Version of Sch\"oning's Algorithm Applied to Quantum 2-SAT [PDF]

, 2016
We study a quantum algorithm that consists of a simple quantum Markov process, and we analyze its behavior on restricted versions of Quantum 2-SAT. We prove that the algorithm solves this decision problem with high probability for n qubits, L clauses ...
Farhi, Edward, Kimmel, Shelby, Temme, Kristan   +2 more
core   +2 more sources

Budgeted Reinforcement Learning in Continuous State Space [PDF]

, 2019
A Budgeted Markov Decision Process (BMDP) is an extension of a Markov Decision Process to critical applications requiring safety constraints. It relies on a notion of risk implemented in the shape of a cost signal constrained to lie below an - adjustable
Carrara, Nicolas, Laroche, Romain, Leurent, Edouard, Maillard, Odalric-Ambrym, Pietquin, Olivier, Urvoy, Tanguy   +5 more
core   +2 more sources

Synchronizing Objectives for Markov Decision Processes [PDF]

Electronic Proceedings in Theoretical Computer Science, 2011
In Proceedings iWIGP 2011, arXiv:1102 ...
Doyen, Laurent, Massart, Thierry, Shirmohammadi, Mahsa   +2 more
openaire   +6 more sources

Research of proactive complex event processing method

Tongxin xuebao, 2016
Based on the preliminary analysis results of the indeterminate event stream that generated by the sensors and control purpose equipment of CPS,the adaptive dynamic Bayesian network and parallel Markov decision process model were used to support the ...
Shao-feng GENG, Yong-heng WANG, Ren-fa LI, Jia ZHANG   +3 more
doaj   +2 more sources

A Note on Optimization Formulations of Markov Decision Processes [PDF]

arXiv, 2020
This note summarizes the optimization formulations used in the study of Markov decision processes. We consider both the discounted and undiscounted processes under the standard and the entropy-regularized settings. For each setting, we first summarize the primal, dual, and primal-dual problems of the linear programming formulation.
arxiv