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pro vyhledávání: '"Cardozo, Nicolas"'
Reinforcement Learning (RL) is used extensively in Autonomous Systems (AS) as it enables learning at runtime without the need for a model of the environment or predefined actions. However, most applications of RL in AS, such as those based on Q-learn
Externí odkaz:
http://arxiv.org/abs/2408.01188
Self-healing systems depend on following a set of predefined instructions to recover from a known failure state. Failure states are generally detected based on domain specific specialized metrics. Failure fixes are applied at predefined application h
Externí odkaz:
http://arxiv.org/abs/2401.12405
Context. Package repositories for a programming language are increasingly common. A repository can keep a register of the evolution of its packages. In the programming language Haskell, with its defining characteristic monads, we can find the Stackag
Externí odkaz:
http://arxiv.org/abs/2310.10887
Reinforcement Learning (RL) is being increasingly used to learn and adapt application behavior in many domains, including large-scale and safety critical systems, as for example, autonomous driving. With the advent of plug-n-play RL libraries, its ap
Externí odkaz:
http://arxiv.org/abs/2303.10236
Autor:
Weyns, Danny, Gerostathopoulos, Ilias, Buhnova, Barbora, Cardozo, Nicolas, Cioroaica, Emilia, Dusparic, Ivana, Grunske, Lars, Jamshidi, Pooyan, Julien, Christine, Michael, Judith, Moreno, Gabriel, Nejati, Shiva, Pelliccione, Patrizio, Quin, Federico, Rodrigues, Genaina, Schmerl, Bradley, Vieira, Marco, Vogel, Thomas, Wohlrab, Rebekka
Artifacts support evaluating new research results and help comparing them with the state of the art in a field of interest. Over the past years, several artifacts have been introduced to support research in the field of self-adaptive systems. While t
Externí odkaz:
http://arxiv.org/abs/2206.12492
Publikováno v:
In Science of Computer Programming September 2024 236
Auto-COP: Adaptation Generation in Context-Oriented Programming using Reinforcement Learning Options
Autor:
Cardozo, Nicolás, Dusparic, Ivana
Self-adaptive software systems continuously adapt in response to internal and external changes in their execution environment, captured as contexts. The COP paradigm posits a technique for the development of self-adaptive systems, capturing their mai
Externí odkaz:
http://arxiv.org/abs/2103.06757
Autor:
Dusparic, Ivana, Cardozo, Nicolas
Self-adaptive systems continuously adapt to changes in their execution environment. Capturing all possible changes to define suitable behaviour beforehand is unfeasible, or even impossible in the case of unknown changes, hence human intervention may
Externí odkaz:
http://arxiv.org/abs/2103.06908
Auto-COP: Adaptation generation in Context-oriented Programming using Reinforcement Learning options
Autor:
Cardozo, Nicolás, Dusparic, Ivana
Publikováno v:
In Information and Software Technology December 2023 164
Publikováno v:
In Information and Software Technology April 2023 156