In the paper the integration of available results on SemiMarkov Decision Processes and on Markov Regenerative Processes is attempted, in order to de ne the mathematical framework for solving decision problems where the underlying structure state process is a Markov Regenerative Process, referred to as Markov Regenerative Decision Process. The essential question investigated here is which descri...

Maintenance decision-making is essential to achieve safe and reliable operation with high performance for equipment. To avoid unexpected shutdown increase machine life as well system efficiency, it fundamental design an effective maintenance scheme In this paper, we propose a novel method equipment based on Long Short-Term Memory (LSTM) Markov decision process, which can provide specific strate...

The Partially Observable Markov Decision Process (POMDP) framework has proven useful in planning domains where agents must balance actions that provide knowledge and actions that provide reward. Unfortunately, most POMDPs are complex structures with a large number of parameters. In many real-world problems, both the structure and the parameters are difficult to specify from domain knowledge alo...