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ICCAD
2005
IEEE
132views Hardware» more  ICCAD 2005»
15 years 11 months ago
Battery optimization vs energy optimization: which to choose and when?
— Batteries are non-ideal energy sources – minimizing the energy consumption of a battery-powered system is not equivalent to maximizing its battery life. We propose an alterna...
Ravishankar Rao, Sarma B. K. Vrudhula
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
15 years 1 months ago
Hybrid moment computation algorithm for biochemical reaction networks
Moment computation is essential to the analysis of stochastic kinetic models of biochemical reaction networks. It is often the case that the moment evolution, usually the first and...
Yun-Bo Zhao, Jongrae Kim, João Pedro Hespan...
ICCMS
2009
118views more  ICCMS 2009»
15 years 3 months ago
Optimized Parallel Implementation of Gillespie's First Reaction Method on Graphics Processing Units
The simulation of chemical reacting systems is one of the most challenging topics in Systems Biology, due to their complexity and inherent randomness. The Gillespie's Stochas...
Cristian Dittamo, Davide Cangelosi
ICML
2009
IEEE
16 years 7 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 11 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn