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» On the computation of linear model predictive control laws
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JAIR
2002
163views more  JAIR 2002»
14 years 11 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
TCAD
2010
88views more  TCAD 2010»
14 years 6 months ago
Stress Aware Layout Optimization Leveraging Active Area Dependent Mobility Enhancement
Starting from the 90nm technology node, process induced stress has played a key role in the design of highperformance devices. The emergence of source/drain silicon germanium (S/D ...
Ashutosh Chakraborty, Sean X. Shi, David Z. Pan
ATAL
2010
Springer
15 years 27 days ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
ICCS
2007
Springer
15 years 1 months ago
Planet-in-a-Bottle: A Numerical Fluid-Laboratory System
Abstract. Humanity’s understanding of the Earth’s weather and climate depends critically on accurate forecasting and state-estimation technology. It is not clear how to build a...
Chris Hill, Bradley C. Kuszmaul, Charles E. Leiser...
ALIFE
1998
14 years 11 months ago
Evolutionary Body Building: Adaptive Physical Designs for Robots
Creating artificial life forms through evolutionary robotics faces a “chicken and egg” problem: learning to control a complex body is dominated by problems specific to its s...
Pablo Funes, Jordan B. Pollack