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NECO
2002
105views more  NECO 2002»
15 years 2 months ago
Multiple Model-Based Reinforcement Learning
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, ...
158
Voted
PC
2002
131views Management» more  PC 2002»
15 years 2 months ago
From patterns to frameworks to parallel programs
riented programming, design patterns, and frameworks are abstraction techniques that have been used to reduce the complexity of sequential programming. This paper describes our ap...
Steve MacDonald, John Anvik, Steven Bromling, Jona...
95
Voted
MLQ
2007
108views more  MLQ 2007»
15 years 2 months ago
Coloring linear orders with Rado's partial order
Let R be the preorder of embeddability between countable linear orders colored with elements of Rado’s partial order (a standard example of a wqo which is not a bqo). We show tha...
Riccardo Camerlo, Alberto Marcone
INFORMATICALT
2010
91views more  INFORMATICALT 2010»
15 years 1 months ago
An Expansion of the Neural Network Theory by Introducing Hebb Postulate
In the presented paper, some issues of the fundamental classical mechanics theory in the sense of Ising physics are introduced into the applied neural network area. The expansion o...
Algis Garliauskas
95
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INTERNET
2010
89views more  INTERNET 2010»
15 years 1 months ago
Smart Objects as Building Blocks for the Internet of Things
nstrate how the respective architectural abstractions support increasingly complex application. Gerd Kortuem and Fahim Kawsar Lancaster University Daniel Fitton University of Centr...
Gerd Kortuem, Fahim Kawsar, Vasughi Sundramoorthy,...