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Volumn , Issue , 2000, Pages 122-129

The Complexity of Model Aggregation

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 0038256821     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (33)
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    • Dean. T.; Givan. R.; and Leach. S. 1997. Model reduction techniques for computing approximately optimal solutions for Markov decision processes. In Geiger, D., and Shcnoy, P. P.. eds.. Pivceedings of the. Pith Conference, on Uncertainty in Artificial Intelligent:!. ((AI-97). 124 131. San Francisco: Morgan Kaufmann Publishers.
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    • Quantum NP is hard for P H
    • World-Scientific. Feiiner, S.; Homer. S.; Green, F and Pruim, R. Quantum NP is hard for P H. Royal Society of London A 455
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    • The complexity of plan existence and evaluation in probabilistic domains
    • Morgan Kaufmann Publishers
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    • Goldsmith, J1    Littman, M.2    Mundhenk, M.3
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    • Littman, M.1    Goldsmith, J2    Mundhenk, M.3
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    • Probabilistic prepositional planning: Representations and complexity
    • A A Al Press M I T Press
    • Littman, M. 1997. Probabilistic prepositional planning: Representations and complexity. In Proc. 14th National Conference on A I. A A Al Press / M I T Press.
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    • Wagner. K1


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