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ICCBR
2007
Springer
14 years 3 months ago
An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs
We identify two fundamental points of utilizing CBR for an adaptive agent that tries to learn on the basis of trial and error without a model of its environment. The first link co...
Thomas Gabel, Martin Riedmiller
AMS
2007
Springer
247views Robotics» more  AMS 2007»
14 years 3 months ago
Towards Machine Learning of Motor Skills
Autonomous robots that can adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. Early approaches to this goal du...
Jan Peters, Stefan Schaal, Bernhard Schölkopf
HPDC
2010
IEEE
13 years 10 months ago
MOON: MapReduce On Opportunistic eNvironments
MapReduce offers a flexible programming model for processing and generating large data sets on dedicated resources, where only a small fraction of such resources are every unavaila...
Heshan Lin, Xiaosong Ma, Jeremy S. Archuleta, Wu-c...
GECCO
2004
Springer
14 years 2 months ago
Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network
This study describes how complex goal-directed behavior can evolve in a hierarchically organized recurrent neural network controlling a simulated Khepera robot. Different types of ...
Rainer W. Paine, Jun Tani
CEC
2009
IEEE
14 years 1 months ago
Memory-enhanced Evolutionary Robotics: The Echo State Network Approach
— Interested in Evolutionary Robotics, this paper focuses on the acquisition and exploitation of memory skills. The targeted task is a well-studied benchmark problem, the Tolman ...
Cédric Hartland, Nicolas Bredeche, Mich&egr...