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PE
2000
Springer
118views Optimization» more  PE 2000»
14 years 9 months ago
A probabilistic dynamic technique for the distributed generation of very large state spaces
Conventional methods for state space exploration are limited to the analysis of small systems because they suffer from excessive memory and computational requirements. We have dev...
William J. Knottenbelt, Peter G. Harrison, Mark Me...
IJRR
2008
186views more  IJRR 2008»
14 years 9 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...
AI
2009
Springer
15 years 4 months ago
Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Dirk Gorissen
ISCA
1994
IEEE
104views Hardware» more  ISCA 1994»
15 years 1 months ago
Exploring the Design Space for a Shared-Cache Multiprocessor
In the near future, semiconductor technology will allow the integration of multiple processors on a chip or multichipmodule (MCM). In this paper we investigate the architecture an...
Basem A. Nayfeh, Kunle Olukotun
HYBRID
2005
Springer
15 years 3 months ago
Learning Multi-modal Control Programs
Abstract. Multi-modal control is a commonly used design tool for breaking up complex control tasks into sequences of simpler tasks. In this paper, we show that by viewing the contr...
Tejas R. Mehta, Magnus Egerstedt