Blar i Institutt for datateknologi, elektroteknologi og realfag på emneord "reinforcement learning"

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    • Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes 

      Abolpour Mofrad, Asieh; Yazidi, Anis; Abolpour Mofrad, Samaneh; Hammer, Hugo Lewi; Arntzen, Erik (Peer reviewed; Journal article, 2021)
      Formation of stimulus equivalence classes has been recently modeled through equivalence projective simulation (EPS), a modified version of a projective simulation (PS) learning agent. PS is endowed with an episodic memory ...

    • Improving Model Repair through Experience Sharing 

      Barriga Rodriguez, Angela; Rutle, Adrian; Heldal, Rogardt (Peer reviewed; Journal article, 2020)
      In model-driven software engineering, models are used in all phases of the development process. These models may get broken due to various editions throughout their life-cycle. There are already approaches that provide an ...

    • PARMOREL: Personalized and automatic repair of models using reinforcement learning 

      Barriga Rodriguez, Angela (Doctoral thesis, 2021)
      In model-driven software engineering, models are used in all phases of the development process. These models must hold a high quality since the implementation of the systems they represent relies on them. Models may get ...

    • Privacy reinforcement learning for faults detection in the smart grid 

      Belhadi, Asma; Djenouri, Youcef; Srivastava, Gautam; Jolfaei, Alireza; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Recent anticipated advancements in ad hoc Wireless Mesh Networks (WMN) have made them strong natural candidates for Smart Grid’s Neighborhood Area Network (NAN) and the ongoing work on Advanced Metering Infrastructure ...