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ILP
2000
Springer
13 years 11 months ago
Using ILP to Improve Planning in Hierarchical Reinforcement Learning
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
Mark D. Reid, Malcolm R. K. Ryan
CSL
2000
Springer
13 years 7 months ago
ProSynth: an integrated prosodic approach to device-independent, natural-sounding speech synthesis
This paper outlines ProSynth, an approach to speech synthesis which takes a rich linguistic structure as central to the generation of natural-sounding speech. We start from the as...
Richard Ogden, Sarah Hawkins, Jill House, Mark Huc...
LADS
2007
Springer
14 years 1 months ago
Extending the MaSE Methodology for the Development of Embedded Real-Time Systems
Embedded real-time systems play an important role in various application areas like plant automation, product automation or car electronics. In recent years a considerable growth i...
Iman Badr, Hisham Mubarak, Peter Göhner
FASE
2005
Springer
14 years 1 months ago
Modelling Parametric Contracts and the State Space of Composite Components by Graph Grammars
Modeling the dependencies between provided and required services within a software component is necessary for several reasons, such as automated component adaptation and architectu...
Ralf Reussner, Jens Happe, Annegret Habel
CP
2003
Springer
14 years 28 days ago
Semi-automatic Modeling by Constraint Acquisition
Constraint programming is a technology which is now widely used to solve combinatorial problems in industrial applications. However, using it requires considerable knowledge and e...
Remi Coletta, Christian Bessière, Barry O'S...