Extraction of reward-related feature space using correlation-based and reward-based learning methods

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

Volumn 6443 LNCS, Issue PART 1, 2010, Pages 414-421

  Manoonpong, Poramate ^a,b   Wörgötter, Florentin ^a   Morimoto, Jun ^b  

^a UNIVERSITY OF GÖTTINGEN   (Germany)

^b ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

Neural control; Pole balancing; Reinforcement learning; Sequential combination; Unsupervised learning

Indexed keywords

CART-POLE SYSTEM; FAILURE AVOIDANCE; FEATURE SPACE; INITIAL CONDITIONS; INPUT CORRELATION; LEARNING METHODS; LEARNING PARADIGMS; NEURAL CONTROL; POLE BALANCING; PRIOR KNOWLEDGE; SEQUENTIAL COMBINATION; STATE SPACE;

DATA PROCESSING; POLES; REINFORCEMENT LEARNING; UNSUPERVISED LEARNING; EXTRACTION;

FEATURE EXTRACTION; REINFORCEMENT LEARNING;

EID: 78650211630     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17537-4_51     Document Type: Conference Paper

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