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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
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 1 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
NDSS
2008
IEEE
14 years 1 months ago
Automated Whitebox Fuzz Testing
Fuzz testing is an effective technique for finding security vulnerabilities in software. Traditionally, fuzz testing tools apply random mutations to well-formed inputs of a progr...
Patrice Godefroid, Michael Y. Levin, David A. Moln...
ICCAD
2009
IEEE
89views Hardware» more  ICCAD 2009»
13 years 5 months ago
Decoupling capacitance efficient placement for reducing transient power supply noise
Decoupling capacitance (decap) is an efficient way to reduce transient noise in on-chip power supply networks. However, excessive decap may cause more leakage power, chip resource...
Xiaoyi Wang, Yici Cai, Qiang Zhou, Sheldon X.-D. T...
ICNP
2000
IEEE
13 years 12 months ago
An Image Transport Protocol for the Internet
Images account for a significant and growing fraction of Web downloads. The traditional approach to transporting images uses TCP, which provides a generic reliable, in-order eam ...
Suchitra Raman, Hari Balakrishnan, Murari Srinivas...