Results 41 to 50 of about 709,572 (229)
Methods for Risk-Based Planning of O&M of Wind Turbines
Energies, 2014 In order to make wind energy more competitive, the big expenses for operation and maintenance must be reduced. Consistent decisions that minimize the expected costs can be made based on risk-based methods.
Jannie Sønderkær Nielsen +1 more
doaj +1 more source
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
Reachability in Recursive Markov Decision Processes [PDF]
Information and Computation, 2006 AbstractWe consider a class of infinite-state Markov decision processes generated by stateless pushdown automata. This class corresponds to 112-player games over graphs generated by BPA systems or (equivalently) 1-exit recursive state machines. An extended reachability objective is specified by two sets S and T of safe and terminal stack configurations,
Brázdil, T +3 more
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Decision Making for Autonomous Vehicles [PDF]
arXiv, 2023 This paper is on decision making of autonomous vehicles for handling roundabouts. The round intersection is introduced first followed by the Markov Decision Processes (MDP), the Partially Observable Markov Decision Processes (POMDP) and the Object Oriented Partially Observable Markov Decision Process (OOPOMDP).
arxiv
Configurable Markov Decision Processes
, 2018 In many real-world problems, there is the possibility to configure, to a limited extent, some environmental parameters to improve the performance of a learning agent. In this paper, we propose a novel framework, Configurable Markov Decision Processes (Conf-MDPs), to model this new type of interaction with the environment.
Metelli, Alberto Maria +2 more
openaire +4 more sources
Equilibrium in Misspecified Markov Decision Processes [PDF]
SSRN Electronic Journal, 2016 We provide an equilibrium framework for modeling the behavior of an agent who holds a simplified view of a dynamic optimization problem. The agent faces a Markov decision process, where a transition probability function determines the evolution of a state variable as a function of the previous state and the agent's action.
Ignacio Esponda, Demian Pouzo
openaire +5 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
IEEE Access, 2023 In modern networking research, infrastructure-assisted unmanned autonomous vehicles (UAVs) are actively considered for real-time learning-based surveillance and aerial data-delivery under unexpected 3D free mobility and coordination. In this system model,
Soohyun Park +4 more
doaj +1 more source
Reversible Markov decision processes and the Gaussian free field [PDF]
arXiv, 2022 A Markov decision problem is called reversible if the stationary controlled Markov chain is reversible under every stationary Markovian strategy. A natural application in which such problems arise is in the control of Metropolis-Hastings type dynamics. We characterize all discrete time reversible Markov decision processes with finite state and actions ...
arxiv
Stochastic Tools for Network Intrusion Detection
, 2017 With the rapid development of Internet and the sharp increase of network crime, network security has become very important and received a lot of attention. We model security issues as stochastic systems.
Chen Lu, J Zheng, L Yu, Paul Baecher
core +1 more source