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IJRR
2008
186views more  IJRR 2008»
15 years 6 months ago
Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
Paulina Varshavskaya, Leslie Pack Kaelbling, Danie...
DATE
2002
IEEE
137views Hardware» more  DATE 2002»
15 years 11 months ago
Practical Instruction Set Design and Compiler Retargetability Using Static Resource Models
The design of application (-domain) specific instructionset processors (ASIPs), optimized for code size, has traditionally been accompanied by the necessity to program assembly, ...
Qin Zhao, Bart Mesman, Twan Basten
NIPS
2008
15 years 7 months ago
Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds
Sequential optimal design methods hold great promise for improving the efficiency of neurophysiology experiments. However, previous methods for optimal experimental design have in...
Jeremy Lewi, Robert J. Butera, David M. Schneider,...
TIP
2010
155views more  TIP 2010»
15 years 4 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
DSD
2011
IEEE
194views Hardware» more  DSD 2011»
14 years 6 months ago
Reliability-Aware Design Optimization for Multiprocessor Embedded Systems
—This paper presents an approach for the reliability-aware design optimization of real-time systems on multi-processor platforms. The optimization is based on an extension of wel...
Jia Huang, Jan Olaf Blech, Andreas Raabe, Christia...