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Action Prediction in Smart Home Based on Reinforcement Learning

  • Marwa HassanEmail author
  • Mirna AtiehEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8456)

Abstract

This paper presents an “intelligent” environment that can be occupied by an elderly or handicapped person. It is characterized by its online learning and continuous adaptation based on a new algorithm called “Planning Q-learning Algorithm (PQLA)”. The user can make feedback promptly which simulates an algorithm that reconfigures the existing plans. The software adaptation is run under middleware “WCOMP” based on the aspect of assembly concept to adapt to the environmental changes.

Keywords

Ambient computing Intelligent environment Online learning Reinforcement learning Software adaptation 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Faculty of Economic Sciences and Business AdministrationLebanese UniversityHadatLebanon

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