Learning the hierarchical structure of spatial environments using multiresolution statistical models

IEEE International Conference on Intelligent Robots and Systems

Volumn 1, Issue , 2002, Pages 1038-1043

  Theocharous, Georgios ^a   Mahadevan, Sridhar ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DECISION THEORY; HIERARCHICAL SYSTEMS; LEARNING ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MOBILE ROBOTS; MOTION CONTROL; STATISTICAL METHODS;

HIERARCHICAL HIDDEN MARKOV MODELS; HIERARCHICAL PARTIALLY OBSERVABLE MARKOV DECISION PROCESS;

ROBOT LEARNING;

EID: 0036450776     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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