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    AIPS
    1996
    113views Artificial Intelligence» more  AIPS 1996»
    Modeling Probabilistic Actions for Practical Decision-Theoretic Planning
    13 years 11 months ago
    Modeling Probabilistic Actions for Practical Decision-Theoretic Planning
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    Mostexisting decision-theoretic planners represent uncertainty about the state of the world with a precisely specified probability distribution over world states. This representat...
    AnHai Doan
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    AIPS
    2000
    106views Artificial Intelligence» more  AIPS 2000»
    Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
    13 years 11 months ago
    Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
    Download  www.aaai.org
    This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
    Michael Beetz, Henrik Grosskreutz
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    AIPS
    1994
    126views Artificial Intelligence» more  AIPS 1994»
    Solving Time-critical Decision-making Problems with Predictable Computational Demands
    13 years 11 months ago
    Solving Time-critical Decision-making Problems with Predictable Computational Demands
    Download  www.aaai.org
    In this work we present an approach to solving time-critical decision-making problems by taking advantage of domain structure to expand the amountof time available for processing ...
    Thomas Dean, Lloyd Greenwald
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    NIPS
    2003
    91views Information Technology» more  NIPS 2003»
    Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
    13 years 11 months ago
    Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
    Download  books.nips.cc
    We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
    Marc Toussaint
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    IDEAL
    2010
    Springer
    143views Intelligent Agents» more  IDEAL 2010»
    Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains
    13 years 8 months ago
    Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains
    Download  www.cis.strath.ac.uk
    Automated Planning is a very active area of research within Artificial Intelligence. Broadly this discipline deals with the methods by which an agent can independently determine t...
    Luke Dicken, John Levine
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