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IROS
2006
IEEE
88views Robotics» more  IROS 2006»
14 years 1 months ago
Reliability-Based Design Optimization of Robotic System Dynamic Performance
In this investigation a robotic system’s dynamic performance is optimized for high reliability under uncertainty. The dynamic capability equations allow designers to predict the...
Alan P. Bowling, John E. Renaud, Jeremy T. Newkirk...
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
14 years 2 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
GLVLSI
2006
IEEE
193views VLSI» more  GLVLSI 2006»
14 years 1 months ago
Optimizing noise-immune nanoscale circuits using principles of Markov random fields
As CMOS devices and operating voltages are scaled down, noise and defective devices will impact the reliability of digital circuits. Probabilistic computing compatible with CMOS o...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...
EOR
2007
102views more  EOR 2007»
13 years 7 months ago
Sub-stochastic matrix analysis for bounds computation - Theoretical results
Performance evaluation of complex systems is a critical issue and bounds computation provides confidence about service quality, reliability, etc. of such systems. The stochastic ...
Serge Haddad, Patrice Moreaux
WINET
2010
127views more  WINET 2010»
13 years 6 months ago
A Markov Decision Process based flow assignment framework for heterogeneous network access
We consider a scenario where devices with multiple networking capabilities access networks with heterogeneous characteristics. In such a setting, we address the problem of effici...
Jatinder Pal Singh, Tansu Alpcan, Piyush Agrawal, ...