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    ATAL
    2007
    Springer
    143views Intelligent Agents» more  ATAL 2007»
    On discovery and learning of models with predictive representations of state for agents with continuous actions and observations
    13 years 8 months ago
    On discovery and learning of models with predictive representations of state for agents with continuous actions and observations
    Download  web.mit.edu
    Models of agent-environment interaction that use predictive state representations (PSRs) have mainly focused on the case of discrete observations and actions. The theory of discre...
    David Wingate, Satinder P. Singh
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    ICML
    2004
    IEEE
    142views Machine Learning» more  ICML 2004»
    Learning and discovery of predictive state representations in dynamical systems with reset
    14 years 5 months ago
    Learning and discovery of predictive state representations in dynamical systems with reset
    Download  www.cc.gatech.edu
    Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...
    Michael R. James, Satinder P. Singh
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    AAAI
    2011
    178views Intelligent Agents» more  AAAI 2011»
    Combining Learned Discrete and Continuous Action Models
    12 years 4 months ago
    Combining Learned Discrete and Continuous Action Models
    Download  www.eecs.umich.edu
    Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
    Joseph Z. Xu, John E. Laird
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    ATAL
    2010
    Springer
    171views Intelligent Agents» more  ATAL 2010»
    Closing the learning-planning loop with predictive state representations
    13 years 5 months ago
    Closing the learning-planning loop with predictive state representations
    Download  www.cs.cmu.edu
    A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
    Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
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    AAAI
    2006
    105views Intelligent Agents» more  AAAI 2006»
    Learning Partially Observable Action Models: Efficient Algorithms
    13 years 6 months ago
    Learning Partially Observable Action Models: Efficient Algorithms
    Download  www.aaai.org
    We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
    Dafna Shahaf, Allen Chang, Eyal Amir
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