Results 31 to 40 of about 254,490 (174)
Dynamic virtual machine management via approximate Markov decision process [PDF]
IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, 2016 Efficient virtual machine (VM) management can dramatically reduce energy consumption in data centers. Existing VM management algorithms fall into two categories based on whether the VMs' resource demands are assumed to be static or dynamic.
Zhenhua Han +5 more
semanticscholar +1 more source
Aerospace, 2023 Current electronic warfare jammers and radar countermeasures are characterized by dynamism and uncertainty. This paper focuses on a decision-making framework of radar anti-jamming countermeasures.
Huaixi Xing, Qinghua Xing, Kun Wang
doaj +1 more source
Optimal control and optimal sensor activation for Markov decision problems with costly observations [PDF]
, 2015 This paper considers partial observation Markov decision processes. Besides the classical control decisions influencing the transition probabilities of the Markov process, we also consider control actions that can activate the sensors to provide more or ...
Boel, René, van Schuppen, Jan H.
core +2 more sources
An Approach to Customer Behavior Modeling using Markov Decision Process
Mendel, 2017 This paper presents an application of Markov Decision Process method for modeling of selected marketing processes. Based on available realistic data, MDP model is constructed. Customer behavior is represented by a set of states of the model with assigned
Ondrej Grunt +4 more
doaj +1 more source
Energy Harvesting Wireless Communications, 2018 Markov decision processes have become an indispensable tool in applications as diverse as equipment maintenance, manufacturing systems, inventory control, queuing networks and investment analysis. Typically we have a controlled Markov chain on a suitable
Pieter Abbeel
semanticscholar +1 more source
Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions [PDF]
, 2015 The focus of this paper is on solving multi-robot planning problems in continuous spaces with partial observability. Decentralized partially observable Markov decision processes (Dec-POMDPs) are general models for multi-robot coordination problems, but ...
Agha-mohammadi, Ali-akbar +3 more
core +4 more sources
Feeding System’s Sensitivity and Reliability Analysis through Markov Decision Process [PDF]
International Journal of Mathematical, Engineering and Management SciencesThe present study investigates a Feeding system, which is responsible for continuous coal supply to the boiler of coal fired power plants. As a result of complex working condition in the power plant, feeding system is prone to system failure.
Sujata Jadhav, Amit Kumar
doaj +1 more source
Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach [PDF]
Artif. Intell. Medicine, 2013 OBJECTIVE In the modern healthcare system, rapidly expanding costs/complexity, the growing myriad of treatment options, and exploding information streams that often do not effectively reach the front lines hinder the ability to choose optimal treatment ...
semanticscholar +1 more source
Applied Sciences, 2021 During the last decades, collaborative robots capable of operating out of their cages are widely used in industry to assist humans in mundane and harsh manufacturing tasks. Although such robots are inherently safe by design, they are commonly accompanied
Angeliki Zacharaki +2 more
doaj +1 more source
Sensor Scheduling for Optimal Observability Using Estimation Entropy [PDF]
, 2006 We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process is observed by a single sensor which needs to be dynamically adjusted or by
Rezaeian, Mohammad
core +3 more sources