A framework for learning from observation using primitives

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2752, Issue , 2003, Pages 263-270

  Bentivegna, Darrin C ^a,b   Atkeson, Christopher G ^a,c  

^a ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

^b Georgia Institute of Technology   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTUATORS; COMPUTER HARDWARE; COMPUTER VISION; GAME THEORY; MATHEMATICAL MODELS; ROBOTS; VIRTUAL REALITY; ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

AIR HOCKEY ENVIRONMENT; KERNEL REGRESSION MODEL; PRIMITIVES; VIRTUAL GAMES; OBSERVED DATA;

LEARNING SYSTEMS; SPORTS;

EID: 23144433002     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-45135-8_20     Document Type: Conference Paper

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