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161
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ATAL
2005
Springer
15 years 9 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
126
Voted
TPDS
2010
159views more  TPDS 2010»
15 years 1 months ago
Exploring In-Situ Sensing Irregularity in Wireless Sensor Networks
The circular sensing model has been widely used to estimate performance of sensing applications in existing analysis and simulations. While this model provides valuable high-level...
Joengmin Hwang, Tian He, Yongdae Kim
138
Voted
GECCO
2011
Springer
256views Optimization» more  GECCO 2011»
14 years 7 months ago
Evolving complete robots with CPPN-NEAT: the utility of recurrent connections
This paper extends prior work using Compositional Pattern Producing Networks (CPPNs) as a generative encoding for the purpose of simultaneously evolving robot morphology and contr...
Joshua E. Auerbach, Josh C. Bongard
124
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FGCN
2007
IEEE
109views Communications» more  FGCN 2007»
15 years 10 months ago
Flow Balancing Hardware for Parallel TCP Streams on Long Fat Pipe Network
Parallel TCP streams are used for data transfer between clusters in today's high performance applications. When parallel TCP streams are used on LFN, part of streams fail to ...
Yutaka Sugawara, Mary Inaba, Kei Hiraki
ICC
2007
IEEE
170views Communications» more  ICC 2007»
15 years 10 months ago
Optimal Bandwidth Provision at WiMAX MAC Service Access Point on Uplink Direction
—In this paper, the IEEE 802.16 protocol is investigated with respect to the bandwidth provision problem arising at the Medium Access Control (MAC) layer. The aim is to optimally...
Mario Marchese, Maurizio Mongelli