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AAAI
2006
13 years 10 months ago
Learning Representation and Control in Continuous Markov Decision Processes
This paper presents a novel framework for simultaneously learning representation and control in continuous Markov decision processes. Our approach builds on the framework of proto...
Sridhar Mahadevan, Mauro Maggioni, Kimberly Fergus...
CCE
2007
13 years 8 months ago
Control of integrated process networks - A multi-time scale perspective
In this paper, we analyze the dynamics of integrated process networks featuring large recycle streams and small purge streams. We consider a prototype network comprising of a reac...
Michael Baldea, Prodromos Daoutidis
ISSRE
2003
IEEE
14 years 1 months ago
Optimal Resource Allocation for the Quality Control Process
Software development project employs some Quality Control (QC) process to detect and remove defects. The final quality of the delivered software depends on the effort spent on al...
Pankaj Jalote, Bijendra Vishal
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
14 years 2 months ago
An enhanced GA to improve the search process reliability in tuning of control systems
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
Andrea Soltoggio
IROS
2008
IEEE
191views Robotics» more  IROS 2008»
14 years 3 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters