In this study, inference for the power Lindley distribution under a step-stress partially accelerated life test based on progressive Type-II censoring scheme is studied. The maximum likelihood estimates of parameters and acceleration factor investigated with their corresponding approximate confidence intervals by using asymptotic theory. performances estimators are evaluated simulation studies....

This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic games. These sequences of combined agent strategies (joint-policies) can be thought of as a walk through the space of all possible joint-policies. We argue that this walk, while containing random elements, is also driven ...

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Strong Cyclic Planning aims at generating iterative plans that only allow loops so far as there is a chance to reach the goal. The problem is already significantly complex for fully observable domains; when considering partially observable domains, even providing a formal definition is far from straightforward. In this work, we provide a formal definition of Strong Cyclic Planning under Partial...

Predictive maintenance is based on observing an indicator of the state of a system, at different intervals of time which gives the decision maker some information about the exact state. The problem is to obtain an optimal replacement policy minimizing the long run expected cost per unit of time and to formulate it as a partially observable Markov decision process.

The process of understanding the meaning of a written passage inherently involves dynamic manipulation and composition of ideas. Starting from this observation this thesis proposes an artificial system for text understanding in which the semantic space containing the possible meanings of the analyzed text is selectively explored by a partially observable Markov decision process trained to effec...