9 citations · 10 across the 4 of their papers we have counts for
3 papers · 1 filter
A Meta Reinforcement Learning-based Approach for Self-Adaptive System
Mingyue Zhang, Jialong Li, Haiyan Zhao +3
A self-learning adaptive system (SLAS) uses machine learning to enable and enhance its adaptability. Such systems are expected to perform well in dynamic situations. For learning h…
Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning
Danny Weyns, Bradley Schmerl, Masako Kishida +5
Two established approaches to engineer adaptive systems are architecture-based adaptation that uses a Monitor-Analysis-Planning-Executing (MAPE) loop that reasons over architectura…
Towards Bridging the Gap between Control and Self-Adaptive System Properties
Javier Cámara, Alessandro V. Papadopoulos, Thomas Vogel +4
Two of the main paradigms used to build adaptive software employ different types of properties to capture relevant aspects of the system's run-time behavior. On the one hand, contr…