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Volumn 57, Issue 11, 2009, Pages 1119-1128
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Automatic abstraction in reinforcement learning using data mining techniques
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Author keywords
Abstraction; Clustering; Data mining; Reinforcement learning; Sequence mining
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Indexed keywords
ABSTRACTION;
ACTION SEQUENCES;
CLUSTERING;
DATA MINING ALGORITHM;
DATA MINING TECHNIQUES;
DATA SETS;
LARGE DATASETS;
LEARNING AGENTS;
Q-LEARNING ALGORITHMS;
SEQUENCE MINING;
STATE CLUSTERING;
STATE SPACE;
STATE TRANSITIONS;
TEMPORAL ABSTRACTION;
ABSTRACTING;
DATA MINING;
EDUCATION;
LEARNING ALGORITHMS;
MINING;
REINFORCEMENT;
REINFORCEMENT LEARNING;
SET THEORY;
CLUSTERING ALGORITHMS;
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EID: 70350053106
PISSN: 09218890
EISSN: None
Source Type: Journal
DOI: 10.1016/j.robot.2009.07.002 Document Type: Article |
Times cited : (25)
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References (23)
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