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105
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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 6 months ago
Standard and averaging reinforcement learning in XCS
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
Pier Luca Lanzi, Daniele Loiacono
103
Voted
EUROCOLT
1997
Springer
15 years 6 months ago
Ordinal Mind Change Complexity of Language Identification
The approach of ordinal mind change complexity, introduced by Freivalds and Smith, uses (notations for) constructive ordinals to bound the number of mind changes made by a learnin...
Andris Ambainis, Sanjay Jain, Arun Sharma
173
Voted
GOSLER
1995
15 years 6 months ago
A Guided Tour Across the Boundaries of Learning Recursive Languages
The present paper deals with the learnability of indexed families of uniformly recursive languages from positive data as well as from both, positive and negative data. We consider...
Thomas Zeugmann, Steffen Lange
167
Voted
BMVC
2002
15 years 5 months ago
Invariant Features from Interest Point Groups
This paper approaches the problem of finding correspondences between images in which there are large changes in viewpoint, scale and illumination. Recent work has shown that scale...
Matthew Brown, David G. Lowe
120
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ATAL
2008
Springer
15 years 4 months ago
Robust and efficient plan recognition for dynamic multi-agent teams
This paper addresses the problem of plan recognition for multiagent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. T...
Gita Sukthankar, Katia P. Sycara