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    ILP
    2004
    Springer
    81views Automated Reasoning» more  ILP 2004»
    Learning Goal Hierarchies from Structured Observations and Expert Annotations
    15 years 3 months ago
    Learning Goal Hierarchies from Structured Observations and Expert Annotations
    Download  ai.eecs.umich.edu
    Tolga Könik, John E. Laird
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    AIPS
    2000
    102views Artificial Intelligence» more  AIPS 2000»
    Learning Planning Operators in Real-World, Partially Observable Environments
    14 years 11 months ago
    Learning Planning Operators in Real-World, Partially Observable Environments
    Download  www.aaai.org
    Matthew D. Schmill, Tim Oates, Paul R. Cohen
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    NIPS
    1994
    89views Information Technology» more  NIPS 1994»
    Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems
    14 years 11 months ago
    Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems
    Download  www.eecs.umich.edu
    Tommi Jaakkola, Satinder P. Singh, Michael I. Jord...
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    IJCAI
    1989
    210views Artificial Intelligence» more  IJCAI 1989»
    Focusing Attention for Observational Learning: The Importance of Context
    14 years 11 months ago
    Focusing Attention for Observational Learning: The Importance of Context
    Download  dli.iiit.ac.in
    Joel D. Martin
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    CORR
    2010
    Springer
    106views Education» more  CORR 2010»
    Learning Residual Finite-State Automata Using Observation Tables
    14 years 8 months ago
    Learning Residual Finite-State Automata Using Observation Tables
    Download  www.uni-trier.de
    Anna Kasprzik
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