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IJCNN
2008
IEEE
15 years 4 months ago
Hybrid learning architecture for unobtrusive infrared tracking support
—The system architecture presented in this paper is designed for helping an aged person to live longer independently in their own home by detecting unusual and potentially hazard...
K. K. Kiran Bhagat, Stefan Wermter, Kevin Burn
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 1 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
CORR
2004
Springer
180views Education» more  CORR 2004»
14 years 10 months ago
Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning
Social insect societies and more specifically ant colonies, are distributed systems that, in spite of the simplicity of their individuals, present a highly structured social organi...
Vitorino Ramos, Juan J. Merelo Guervós
TSMC
2008
229views more  TSMC 2008»
14 years 10 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
ICAC
2007
IEEE
15 years 4 months ago
Autonomous Return on Investment Analysis of Additional Processing Resources
As the use of virtualization and partitioning grows, it becomes possible to deploy a multi-tier web-based application with a variable amount of computing power. This introduces th...
Jonathan Wildstrom, Peter Stone, Emmett Witchel