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AAMAS
2007
Springer
15 years 11 months ago
Continuous-State Reinforcement Learning with Fuzzy Approximation
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
FMICS
2007
Springer
15 years 11 months ago
An Action/State-Based Model-Checking Approach for the Analysis of Communication Protocols for Service-Oriented Applications
Abstract. In this paper we present an action/state-based logical framework for the analysis and verification of complex systems, which relies on the definition of doubly labelled...
Maurice H. ter Beek, Alessandro Fantechi, Stefania...
PLDI
2005
ACM
15 years 10 months ago
Permission-based ownership: encapsulating state in higher-order typed languages
Today’s module systems do not effectively support information hiding in the presence of shared mutable objects, causing serious problems in the development and evolution of larg...
Neelakantan R. Krishnaswami, Jonathan Aldrich
EVOW
2003
Springer
15 years 10 months ago
Landscape State Machines: Tools for Evolutionary Algorithm Performance Analyses and Landscape/Algorithm Mapping
Abstract. Many evolutionary algorithm applications involve either fitness functions with high time complexity or large dimensionality (hence very many fitness evaluations will typi...
David Corne, Martin J. Oates, Douglas B. Kell
ESOP
1998
Springer
15 years 9 months ago
Mode-Automata: About Modes and States for Reactive Systems
Abstract. In the eld of reactive system programming, data ow synchronous languages like Lustre BCH+85,CHPP87 or Signal GBBG85 o er a syntax similar to block-diagrams, and can be e ...
Florence Maraninchi, Yann Rémond