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ATAL
2005
Springer
14 years 1 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
DAC
2010
ACM
13 years 7 months ago
Instruction cache locking using temporal reuse profile
The performance of most embedded systems is critically dependent on the average memory access latency. Improving the cache hit rate can have significant positive impact on the per...
Yun Liang, Tulika Mitra
CONCURRENCY
1998
87views more  CONCURRENCY 1998»
13 years 7 months ago
Titanium: A High-performance Java Dialect
Titanium is a language and system for high-performance parallel scientific computing. Titanium uses Java as its base, thereby leveraging the advantages of that language and allow...
Katherine A. Yelick, Luigi Semenzato, Geoff Pike, ...
SCESM
2006
ACM
238views Algorithms» more  SCESM 2006»
14 years 1 months ago
Nobody's perfect: interactive synthesis from parametrized real-time scenarios
As technical systems keep growing more complex and sophisticated, designing software for the safety-critical coordination between their components becomes increasingly difficult....
Holger Giese, Stefan Henkler, Martin Hirsch, Flori...
IUI
2010
ACM
14 years 4 months ago
Tell me more, not just "more of the same"
The Web makes it possible for news readers to learn more about virtually any story that interests them. Media outlets and search engines typically augment their information with l...
Francisco Iacobelli, Larry Birnbaum, Kristian J. H...