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ATAL
2005
Springer
13 years 10 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
BIRTHDAY
2009
Springer
13 years 8 months ago
Minimizing Average Flow-Time
We consider the problem of minimizing average flow time on multiple machines when each job can be assigned only to a specified subset of the machines. This is a special case of sc...
Naveen Garg
FOCS
2007
IEEE
13 years 8 months ago
Minimizing Average Flow-time : Upper and Lower Bounds
We consider the problem of minimizing average flow time on multiple machines when each job can be assigned only to a specified subset of the machines. This is a special case of sc...
Naveen Garg, Amit Kumar
FCCM
1998
IEEE
169views VLSI» more  FCCM 1998»
13 years 9 months ago
Scalable Network Based FPGA Accelerators for an Automatic Target Recognition Application
Abstract Image processing, specifically Automatic Target Recognition (ATR) in Synthetic Aperture Radar (SAR) imagery, is an application area that can require tremendous processing ...
Ruth Sivilotti, Young Cho, Wen-King Su, Danny Cohe...