VQQL. Applying vector quantization to reinforcement learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1856, Issue , 2000, Pages 292-303

  Fernáandez, Fernando ^a   Borrajo, Daniel ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DIGITAL TO ANALOG CONVERSION; LEARNING ALGORITHMS; MACHINE LEARNING; QUANTIZATION (SIGNAL); REINFORCEMENT LEARNING; SPORTS; VECTORS;

CLUSTERING MECHANISM; DYNAMIC DOMAINS; GENERALIZED LLOYD ALGORITHM; NEW MECHANISMS; OPTIMAL POLICIES; REINFORCEMENT LEARNING TECHNIQUES; ROBOSOCCER SIMULATOR; VECTOR QUANTIZERS;

VECTOR QUANTIZATION;

EID: 84944872843     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45327-x_24     Document Type: Conference Paper

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