Markov Decision Process Modeling
A hierarchical Markov decision process modeling feeding and marketing decisions of growing pigs
... a decision support system with online data such that the system state can be found using Bayesian updating and the optimal policy of the HMDP can determine the best feeding and marketing decisions at pen ...
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Crowdsourced Software Development Process: Investigation and Modeling through Markov Decision Theory
... Competition, Markov Decision Process, Modeling ...development process models and methodologies for developing ...Software Process Model specifies the stages in which a project ...
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Markov Decision Process modeled with Bandits for Sequential Decision Making in Linear-flow
... the performance for MDP with Bandits is consistently better than all other algorithms when interaction strength is greater than 1. When scanning through figures 2, 3, 4, 5, we find interaction Bandits is the 2nd best ...
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Prediction Based Link Stability Analysis In Markov Decision Process
... For composition of services, a number of middleware frameworks and architectures are proposed but these do not discuss the actual forwarding mechanism The use of multi-hop paths to send service requests and receive ...
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The Trust-Based Interactive Partially Observable Markov Decision Process
... A similar scenario can play out in a multi-agent environment for a variety of reasons. A sneaky agent can act trustworthy for a period of time to build trust until it decides to betray the other agents. A “hacker” can ...
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An information theoretic approach for generating an aircraft avoidance Markov decision process
... of magnitude greater amount of data to be processed, leading to the calculation of state-transitions for a MDP formulations. The flexibility of the framework did not constraint state selection nor the time horizon, ...
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MATHEMATICAL MODELING AND AVAILABILITY ANALYSIS OF A CRYSTALLIZATION SYSTEM USING MARKOV PROCESS
... operation. Decision matrices have been developed which help in deciding maintenance strategies and performance ...through decision matrices and availability ...
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Modeling and Design of Real Time Pricing Systems Based on Markov Decision Processes
... In this paper, using a Markov decision process (MDP), we propose a mathematical model of real-time pricing systems. Since in many cases, the status of electricity conservation of customers is ...
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CiteSeerX — A Markov Decision Process approach with Q-learning for the stand management problem
... MDPs have become a standard in the artificial intelligence community since the beginning of the 90s for modeling such problems. In the MDP framework, a solution to the problem is defined as a policy which ...
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A Markov Decision Process based flow assignment framework for heterogeneous network access
... While the distribution of traffic flows amongst different networks can enable better network utilization than single network use at a time, the variation in network character- istics like ABR and delay makes the problem ...
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Framing Human-Robot Task Communication as a Partially Observable Markov Decision Process
... explicitly modeling the human and taking communication actions to reduce uncertainty is beneficial, and treating the human input as observations car- rying information about the task details is ...
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Markov Decision Process Model for Optimisation of Patient Flow
... a Markov decision process (MDP) model over a weekly time horizon to analyse FMC’s bed occupancy patterns with a goal of proposing policies that lead to reduced incidence of ...
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Reachability-based model reduction for Markov decision process
... One example of algorithm for solving SSPs is real-time dynamic programming (RTDP) [4] that, given an SSP and a lower bound for V ∗ , computes an optimal policy for all the relevant states, i.e., all states reachable by ...
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A Markov Decision Process Model for Traffic Prioritisation Provisioning
... the buffer, are not delayed by the lower priority packets. Hence, information of the buffer states is essential in reaching such decisions. Figure 2 illustrates the scenario of packet arrival which re- quires the arbiter ...
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Modeling of Mixed Decision Making Process
... I. I NTRODUCTION Individuals and groups, within organisations, cooperate by producing, manipulating and organizing knowledge, and by building and refining new collective knowledge. Organisations increasingly see their ...
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Process Modeling: a Decision-Oriented Approach
... the decision or meeting, the greater the diameter, the more significant is the importance of the decision to be ...different process modeling tools like aixperanto to indicate which ...
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The Neuroeconomics of Learning and Information Processing; Applying Markov Decision Process
... From this representation, it seems that the law of this equation is bounded which is rational for which, there may be a fixed number of contexts to define either ‘ ’ or ‘ ’ while, the [r] ...
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Continuous time Markov decision process of a single aisle warehouse
... The main idea of this paper is to model the warehouse of KLM as an MDP. This requires to make the problem smaller in order to make it solvable. Solving the MDP yields an e-optimal policy. By simulating the ...
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Optimizing credit limit policy by Markov Decision Process Models
... the Markov chain is not first ...order Markov chains. So, we tested whether the process is second-order Markov ...order Markov chain increases the size of the state space exponentially ...
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Markov Decision Process based Switching for Wireless Sensor Network
... technique. Markov Decision Process (MDP) switching algorithm has been designed for sustainable data collection tree to reduce energy consumption in the wireless sensor ...
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