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    ILP
    2004
    Springer
    81views Automated Reasoning» more  ILP 2004»
    Learning Goal Hierarchies from Structured Observations and Expert Annotations
    15 years 8 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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    115
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    AIPS
    2000
    102views Artificial Intelligence» more  AIPS 2000»
    Learning Planning Operators in Real-World, Partially Observable Environments
    15 years 4 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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    84
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    NIPS
    1994
    89views Information Technology» more  NIPS 1994»
    Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems
    15 years 4 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
    15 years 4 months ago
    Focusing Attention for Observational Learning: The Importance of Context
    Download  dli.iiit.ac.in
    Joel D. Martin
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    66
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    CORR
    2010
    Springer
    106views Education» more  CORR 2010»
    Learning Residual Finite-State Automata Using Observation Tables
    15 years 2 months ago
    Learning Residual Finite-State Automata Using Observation Tables
    Download  www.uni-trier.de
    Anna Kasprzik
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