Markov decision problem model
Sensitivity Analysis of the Replacement Problem
... to Markov decision process as described by, for instance [5] and ...replacement problem using a Markov decision process and then, the instance is optimized using linear ...to ...
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Reachability-based model reduction for Markov decision process
... original problem when applying model ...art model reduction algorithms and MDP solvers (that do not perform model ...current model reduction algo- rithms in all problems, specially in ...
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AdWords Bid Optimisation
... The problem of bidding on keywords is now viewed as a Markov decision ...a Markov chain, in which decisions can be made. Logically the decision in this case is whether to advertise or ...
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Quantifying Shared Information Value in a Supply Chain Using Decentralized Markov Decision Processes with Restricted Observations
... a Markov Decision Process or MDP (Howard, 1960) can be used to model a single agent decision problem where the agent has full observability of the ...Observable Markov ...
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Model-based Bayesian Reinforcement Learning in Factored Markov Decision Process
... challenging problem in model-based Bayesian reinforcement ...the problem, we propose a model-based factored Bayesian reinforcement learning (F-BRL) ...
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Some contributions to Markov decision processes
... the model considered here differs from that in the above reference in two ...merable model and a Borel but finite one, where the technicality problem remains unresolved in the more general Borel ...
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Optimal Admission and Service Control in a Discrete time Service Facility Systems: MDP Approach
... like Markov Decision Process model is most appropriate to study service facility system (Queues- Inventory) and Machine maintenance systems (Machine- ...a Markov decision ...
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Revenue management in airline operations : booking systems and aircraft maintenance services
... El-Haber and El-Taha (2004) model a discrete time, finite horizon Markov decision process to solve the two-leg airline seat inventory control problem with multiple fare classes, cancel[r] ...
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A Markov Decision Model for Hospital Ward Admission Scheduling
... simulation model can be developed that considers various types of patient inflows at the individual patient level and the resulting bed needs over ...empirical model is specified and estimation is ...
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Policy-Gradient Algorithms for Partially Observable Markov Decision Processes
... Adaptive history methods grow or shrink the number of past events that are needed to reveal the hidden state. Probabilistic Suffix Automata [Ron et al., 1994] model partially observable Markov ...
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Optimization and Learning Approaches for Energy Harvesting Wireless Communication Systems
... optimization problem is a convex ...maximization problem as a Markov decision process and uses this model to learn the optimal power allocation policy by deciding, in each time ...
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The Customer Choice Model of commercial retailers based on MarKov analysis
... study decision-making of customer choice, and so ...choice model for commercial retailers based on MarKov Analysis, in order to provide theoretical support and decision reference to ...
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Investigation On Path Planning For Autonomous Mobile Robots In Partially Observable Environment
... best decision to achieve task objective. Hence, this kind of problem has to be modeled as ...POMDP model to perform simple tasks such as navigation only is PSPACE-hard [6], which means it is very ...
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Automatically learning topics and difficulty levels of problems in online judge systems
... two-mode Markov topic model to automatically detect the topics of online problems by jointly characterizing the two learning ...expertise model using the learned topic ...
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Computing the Most Probable String with a Probabilistic Finite State Machine
... to model lan- guages, help with decoding or for translation ...hidden Markov models (H MM s) or finite state ...common problem in all the set- tings is that of computing the most probable event ...
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Optimizing Vaccine Distribution During an Influenza Pandemic.
... deterministic model, May and Anderson [39], considers the distribution of vaccines in the cities and villages structure during an outbreak of a micro parasitic ...
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Optimization of fleet mix -
... Simplified problem formulation Optimization model/ MP model Analysis and Verification Result Solution process Decision and implementation.. The optimization process[r] ...
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On the complexity of computing maximum entropy for Markovian Models
... open problem in model theory, known as Tarski’s exponential function ...threshold problem of IMCs. Note that it is high unlikely that the problem is undecidable, because it would refute the ...
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Messung der fraktionierten Flussreserve zur Indikationsstellung der perkutanen Koronarintervention Measurement of fractional flow reserve to guide decisions for percutaneous coronary intervention
... Outcome Model (German CADOM) ...ein Markov-Modell mit sieben Gesundheitszuständen für den Langzeitverlauf der Erkran- ...Das Markov-Modell umfasst je einen Markov-Zu- stand Keine Angina, Milde ...
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Online Full Text
... How does this framework maintain an orderly discussion? This concept is based on observation of conflict management in the real world. Conflicts in the real world are normally resolved through legal procedures and rarely ...
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