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Feature-Model-Guided Online Learning for Self-Adaptive Systems

Feature-Model-Guided Online Learning for Self-Adaptive Systems

22 July 2019
Andreas Metzger
Clément Quinton
Z. Mann
Luciano Baresi
Klaus Pohl
    TTA
ArXiv (abs)PDFHTML

Papers citing "Feature-Model-Guided Online Learning for Self-Adaptive Systems"

4 / 4 papers shown
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of
  Service-oriented Systems
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented SystemsInternational Conference on Service Oriented Computing (ICSOC), 2023
Andreas Metzger
Jon Bartel
Jan Laufer
232
7
0
25 Sep 2023
A User Study on Explainable Online Reinforcement Learning for Adaptive
  Systems
A User Study on Explainable Online Reinforcement Learning for Adaptive SystemsACM Transactions on Autonomous and Adaptive Systems (TAAS), 2023
Andreas Metzger
Jan Laufer
Felix Feit
Klaus Pohl
OffRLOnRL
388
5
0
09 Jul 2023
Explaining Online Reinforcement Learning Decisions of Self-Adaptive
  Systems
Explaining Online Reinforcement Learning Decisions of Self-Adaptive SystemsInternational Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2022
Felix Feit
Andreas Metzger
Klaus Pohl
199
15
0
12 Oct 2022
Deep Learning for Effective and Efficient Reduction of Large Adaptation
  Spaces in Self-Adaptive Systems
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-Adaptive SystemsACM Transactions on Autonomous and Adaptive Systems (TAAS), 2022
Danny Weyns
Omid Gheibi
Federico Quin
Jeroen Van Der Donckt
AI4CE
131
19
0
13 Apr 2022
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