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    SARA   2007 International Symposium on Abstraction
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    SARA
    2007
    Springer
    167views Artificial Intelligence» more  SARA 2007»
    Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
    14 years 6 months ago
    Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
    Download  www-anw.cs.umass.edu
    Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
    Anders Jonsson, Andrew G. Barto
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    1Download preprint from source167
    Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
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    2Download preprint from source152
    Computing and Using Lower and Upper Bounds for Action Elimination in MDP Planning
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    3Download preprint from source120
    DFS-Tree Based Heuristic Search
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    4Download preprint from source117
    Boosting MUS Extraction
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    5Download preprint from source114
    Approximate Model-Based Diagnosis Using Greedy Stochastic Search
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    6Download preprint from source114
    Tailoring Solver-Independent Constraint Models: A Case Study with Essence' and Minion
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    7Download preprint from source106
    Extensional Reasoning
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    8Download preprint from source103
    A Meta-CSP Model for Optimal Planning
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    9Download preprint from source101
    Reformulation for Extensional Reasoning
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    10Download preprint from source96
    Reformulating Constraint Satisfaction Problems to Improve Scalability
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    11Download preprint from source96
    Homogeneous Hierarchical Composition of Areas in Multi-robot Area Coverage
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    12Download preprint from source94
    Model-Based Exploration in Continuous State Spaces
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    13Download preprint from source92
    Generating Implied Boolean Constraints Via Singleton Consistency
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    14Download preprint from source81
    State Abstraction in Real-Time Heuristic Search
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    15Download preprint from source79
    Using Infeasibility to Improve Abstraction-Based Heuristics
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    16Download preprint from source75
    Using Analogy Discovery to Create Abstractions
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    17Download preprint from source69
    Reformulating Constraint Models Using Input Data
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    18Download preprint from source66
    Dynamic Domain Abstraction Through Meta-diagnosis
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