Learning HTN method preconditions and action models from partial observations

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2009, Pages 1804-1809

  Zhuo, Hankz Hankui ^a   Hu, Derek Hao ^a   Hogg, Chad ^b   Yang, Qiang ^a   Munoz Avila, Hector ^b  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b Lehigh University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE ENGINEERING; TREES (MATHEMATICS);

ACTION MODELS; DECOMPOSITION TREES; DOMAIN KNOWLEDGE; FORMAL FRAMEWORK; HIERARCHICAL TASK NETWORK (HTN) PLANNING; PARTIAL OBSERVATION; REAL-WORLD PLANNING PROBLEM; STATE INFORMATION;

LEARNING SYSTEMS;

EID: 78751688349     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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