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» New Challenges in Dynamical Systems: The Networked Case
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ATAL
2005
Springer
15 years 5 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 3 months ago
Improving evolutionary real-time testing
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
Marouane Tlili, Stefan Wappler, Harmen Sthamer
GI
2007
Springer
15 years 6 months ago
Potentials and Requirements of Mobile Ubiquitous Computing for Public Transport
: Public transport plays an important role in our society which is characterized by mobility, individuality, comfort and ecological constraints. It is common opinion that public tr...
Holger Mügge, Karl-Heinz Lüke, Matthias ...
CODES
2005
IEEE
15 years 5 months ago
DVS for buffer-constrained architectures with predictable QoS-energy tradeoffs
We present a new scheme for dynamic voltage and frequency scaling (DVS) for processing multimedia streams on architectures with restricted buffer sizes. The main advantage of our ...
Alexander Maxiaguine, Samarjit Chakraborty, Lothar...
WWW
2007
ACM
16 years 14 days ago
Efficient search in large textual collections with redundancy
Current web search engines focus on searching only the most recent snapshot of the web. In some cases, however, it would be desirable to search over collections that include many ...
Jiangong Zhang, Torsten Suel