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4Gradient descent methods in learning classifier systems: Improving XCS performance in multistep problems
M. Butz, D. Goldberg, and P. Lanzi. IEEE Transactions on Evolutionary Computation, (2005)
15 years ago by @butz
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(LCSs)
Function
MVButz
MVButzJ
Q-learning
XCS
approximation
classifier
descent
gradient
learning
multistep
problems
reinforcement
systems
(LCSs)FunctionMVButzMVButzJQ-learningXCSapproximationclassifierdescentgradientlearningmultistepproblemsreinforcementsystems
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1Sequential problems that test generalization in learning classifier systems
M. Butz, and P. Lanzi. Evolutionary Intelligence, (2009)
15 years ago by @butz
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MVButz
MVButzJ
Reinforcement
XCS
learning
machine
MVButzMVButzJReinforcementXCSlearningmachine
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3Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity
M. Butz, D. Goldberg, P. Lanzi, and K. Sastry. Genetic Programming and Evolvable Machines, (2007)
15 years ago by @butz
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LCS
Learning
MVButz
MVButzJ
Markov
Mutation
Niching
Solution
XCS
analysis
chain
classifier
sustenance
systems
LCSLearningMVButzMVButzJMarkovMutationNichingSolutionXCSanalysischainclassifiersustenancesystems
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5XCS classifier system reliably evolves accurate, complete, and minimal representations for boolean functions.
T. Kovacs. Soft computing in engineering design and manufacturing, Springer-Verlag, Berlin Heidelberg, (1997)
16 years ago by @butz
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LCS,
XCS
LCS,XCS
(0)
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2Deletion schemes for classifier systems.
T. Kovacs. Genetic and Evolutionary Computation Conference, GECCO 1999, (1999)
16 years ago by @butz
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Classifier
Deletion
LCS,
Learning
Schemes,
Systems,
XCS
ClassifierDeletionLCS,LearningSchemes,Systems,XCS
(0)
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3Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity
M. Butz, D. Goldberg, P. Lanzi, and K. Sastry. Genetic Programming and Evolvable Machines, (2007)
16 years ago by @butz
show all tags
-
LCS
Learning
Markov
Mutation
Niching
Solution
XCS
analysis
chain
classifier
sustenance
systems
-LCSLearningMarkovMutationNichingSolutionXCSanalysischainclassifiersustenancesystems
(0)
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1Simple Markov Models of the Genetic Algorithm in Classifier Systems: Multi-Step Tasks
L. Bull. Advances in learning classifier systems: Third international workshop, IWLCS 2000 (LNAI 1996), Springer-Verlag, Berlin Heidelberg, Extended abstract.(2001)
16 years ago by @butz
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LCS,
XCS
LCS,XCS
(0)
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1Simple Markov Models of the Genetic Algorithm in Classifier Systems: Accuracy-based Fitness
L. Bull. Advances in learning classifier systems: Third international workshop, IWLCS 2000 (LNAI 1996), Springer-Verlag, Berlin Heidelberg, Extended abstract.(2001)
16 years ago by @butz
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LCS,
XCS
LCS,XCS
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4Gradient descent methods in learning classifier systems: Improving XCS performance in multistep problems

1Sequential problems that test generalization in learning classifier systems

3Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity

5XCS classifier system reliably evolves accurate, complete, and minimal representations for boolean functions.

2Deletion schemes for classifier systems.

3Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity

1Simple Markov Models of the Genetic Algorithm in Classifier Systems: Multi-Step Tasks

1Simple Markov Models of the Genetic Algorithm in Classifier Systems: Accuracy-based Fitness

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