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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 6 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
CODES
2001
IEEE
15 years 6 months ago
System canvas: a new design environment for embedded DSP and telecommunication systems
We present a new design environment, called System Canvas, targeted at DSP and telecommunication system designs. Our environment uses an easy-to-use block-diagram syntax to specif...
Praveen K. Murthy, Etan G. Cohen, Steve Rowland
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 5 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
AAAI
2007
15 years 4 months ago
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
Bobby D. Bryant, Risto Miikkulainen
AIPS
2008
15 years 4 months ago
Multiagent Planning Under Uncertainty with Stochastic Communication Delays
We consider the problem of cooperative multiagent planning under uncertainty, formalized as a decentralized partially observable Markov decision process (Dec-POMDP). Unfortunately...
Matthijs T. J. Spaan, Frans A. Oliehoek, Nikos A. ...