The Convergence of a Cooperation Markov Decision Process System [PDF]
Entropy, 2020 In a general Markov decision progress system, only one agent’s learning evolution is considered. However, considering the learning evolution of a single agent in many problems has some limitations, more and more applications involve multi-agent.
Xiaoling Mo, Daoyun Xu, Zufeng Fu
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Improving RED algorithm congestion control by using the Markov decision process [PDF]
Scientific Reports, 2022 Congestion control plays an essential role on the internet to manage overload, which affects data transmission performance. The random early detection (RED) algorithm belongs to active queue management (AQM), which is used to manage internet traffic. The
Amar A. Mahawish, Hassan J. Hassan
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Data-Driven Markov Decision Process Approximations for Personalized Hypertension Treatment Planning [PDF]
MDM Policy & Practice, 2016 Background: Markov decision process (MDP) models are powerful tools. They enable the derivation of optimal treatment policies but may incur long computational times and generate decision rules that are challenging to interpret by physicians.
Greggory J. Schell PhD +4 more
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Intelligent Sensing in Dynamic Environments Using Markov Decision Process [PDF]
Sensors, 2011 In a network of low-powered wireless sensors, it is essential to capture as many environmental events as possible while still preserving the battery life of the sensor node. This paper focuses on a real-time learning algorithm to extend the lifetime of a
Asad M. Madni +3 more
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Multi-Vehicle Tracking via Real-Time Detection Probes and a Markov Decision Process Policy [PDF]
Sensors, 2019 Online multi-object tracking (MOT) has broad applications in time-critical video analysis scenarios such as advanced driver-assistance systems (ADASs) and autonomous driving.
Yi Zou +3 more
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Surveillance imaging for patients with head and neck cancer treated with definitive radiotherapy: A partially observed Markov decision process model. [PDF]
Cancer, 2020 Ng SP +14 more
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Application of Reinforcement Learning to Solve Rubrik’s Cube with Markov Decision Process
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)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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Unusual Japanese Decision-making: Markov Process of Decision-making [PDF]
Revista de Management Comparat International, 2021 There is not enough research on decision-making and management process of organizations that do not make a profit. Economists should include healthy companies, as well as sick ones, the same way doctors do.
Nobumichi WATAHIKI +4 more
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Dialogue Strateqy Integrating Markov Decision Process and Information Entropy [PDF]
Jisuanji gongcheng, 2021 Dialogue strategy is an important component in the human-machine dialogue system,and its performance directly affects the performance of the dialogue system.In a cold start scenario without any data,it is complex and time-consuming to collect dialogue ...
ZHU Yingbo, ZHAO Yangyang, WANG Pei, YIN Kai, WANG Zhenyu
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Quantile Markov Decision Processes
Operations Research, 2022 Title: Sequential Decision Making Using Quantiles The goal of a traditional Markov decision process (MDP) is to maximize the expectation of cumulative reward over a finite or infinite horizon. In many applications, however, a decision maker may be interested in optimizing a specific quantile of the cumulative reward. For example, a physician may want
Xiaocheng Li +2 more
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