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GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
15 years 5 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 5 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
109
Voted
GI
2009
Springer
15 years 5 months ago
Applying Semantic Technologies for Context-Aware AAL Services: What we can learn from SOPRANO
Abstract: Ambient assisted living (AAL) is a newly emerging term describing a research area with focus on services that support people in their daily life with particular focus on ...
Peter Wolf, Andreas Schmidt, Michael Klein
GPCE
2009
Springer
15 years 5 months ago
Advanced runtime adaptation for Java
Dynamic aspect-oriented programming (AOP) enables runtime adaptation of aspects, which is important for building sophisticated, aspect-based software engineering tools, such as ad...
Alex Villazón, Walter Binder, Danilo Ansalo...
85
Voted
GPCE
2009
Springer
15 years 5 months ago
Safe composition of non-monotonic features
Programs can be composed from features. We want to verify automatically that all legal combinations of features can be composed safely without errors. Prior work on this problem a...
Martin Kuhlemann, Don S. Batory, Christian Kä...