Rendezvous planning for multiple autonomous underwater vehicles using a Markov decision process
Multiple autonomous underwater vehicles (AUVs) are a potential alternative to conventional large manned vessels for mine countermeasure (MCM) operations.
Veronika Yordanova +2 more
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Research on Distributed Multi-Sensor Cooperative Scheduling Model Based on Partially Observable Markov Decision Process. [PDF]
Zhang Z, Wu J, Zhao Y, Luo R.
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Stochastic Capital Depreciation and the Comovement of Hours and Productivity [PDF]
In this article, we demonstrate that a small degree of stochastic variation in the depreciation rate of capital can greatly reduce the comovement between hours worked and labor productivity in a neoclassical growth model. The depreciation rate is modeled
Andreas Fischer +2 more
core
Early transplantation maximizes survival in severe acute-on-chronic liver failure: Results of a Markov decision process model. [PDF]
Zhang S +9 more
europepmc +1 more source
In this paper, in order to enhance the autonomous operation capabilities of aircraft and ensure their operational safety and efficiency, we propose an autonomous decision-making framework based on target motion state prediction combined with the Markov ...
Yang Zhou, Xinmin Tang, Xuanming Ren
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Optimal treatment recommendations for diabetes patients using the Markov decision process along with the South Korean electronic health records. [PDF]
Oh SH, Lee SJ, Noh J, Mo J.
europepmc +1 more source
Contralateral exploration and repair of occult inguinal hernias during laparoscopic inguinal hernia repair: systematic review and Markov decision process. [PDF]
Dhanani NH +7 more
europepmc +1 more source
Research on constellation fault satellite replacement strategy based on Markov decision process
With the decrease of the importance of single satellite caused by the large-scale constellation,multiple replacement methods and the retention of faulty satellites should be considered when formulating the replacement strategy of faulty satellites.
LIN Ruoyu +4 more
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Federated Learning with Efficient Aggregation via Markov Decision Process in Edge Networks
Federated Learning (FL), as an emerging paradigm in distributed machine learning, has received extensive research attention. However, few works consider the impact of device mobility on the learning efficiency of FL.
Tongfei Liu, Hui Wang, Maode Ma
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Application of Reinforcement Learning to Solve Rubrik’s Cube with Markov Decision Process
The Rubik's Cube is a complex puzzle with an enormous number of possible configurations, making it a challenging problem for both humans and computational methods to solve.
Defni +6 more
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