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ATAL
2005
Springer
14 years 2 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
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 3 months ago
Evolving virtual creatures revisited
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
Peter Krcah
DAC
1998
ACM
14 years 1 months ago
Synthesis of Power-Optimized and Area-Optimized Circuits from Hierarchical Behavioral Descriptions
We present a technique for synthesizing power- as well as area-optimized circuits from hierarchical data flow graphs under throughput constraints. We allow for the use of complex...
Ganesh Lakshminarayana, Niraj K. Jha
IPPS
2010
IEEE
13 years 7 months ago
Tile QR factorization with parallel panel processing for multicore architectures
To exploit the potential of multicore architectures, recent dense linear algebra libraries have used tile algorithms, which consist in scheduling a Directed Acyclic Graph (DAG) of...
Bilel Hadri, Hatem Ltaief, Emmanuel Agullo, Jack D...
ICCAD
2009
IEEE
135views Hardware» more  ICCAD 2009»
13 years 6 months ago
Enhanced reliability-aware power management through shared recovery technique
While Dynamic Voltage Scaling (DVS) remains as a popular energy management technique for real-time embedded applications, recent research has identified significant and negative i...
Baoxian Zhao, Hakan Aydin, Dakai Zhu