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    NCI
    2004
    185views Neural Networks» more  NCI 2004»
    Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
    13 years 9 months ago
    Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
    Download  staff.science.uva.nl
    This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
    Bram Bakker, Jürgen Schmidhuber
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    UAI
    1998
    99views Artificial Intelligence» more  UAI 1998»
    Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
    13 years 8 months ago
    Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
    Download  reference.kfupm.edu.sa
    This paper presents two new approaches to decomposing and solving large Markov decision problems (MDPs), a partial decoupling method and a complete decoupling method. In these app...
    Ronald Parr
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    AIPS
    2009
    97views Artificial Intelligence» more  AIPS 2009»
    Minimal Sufficient Explanations for Factored Markov Decision Processes
    13 years 8 months ago
    Minimal Sufficient Explanations for Factored Markov Decision Processes
    Download  www.cs.uwaterloo.ca
    Explaining policies of Markov Decision Processes (MDPs) is complicated due to their probabilistic and sequential nature. We present a technique to explain policies for factored MD...
    Omar Zia Khan, Pascal Poupart, James P. Black
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    AIPS
    2009
    126views Artificial Intelligence» more  AIPS 2009»
    Automatic Derivation of Memoryless Policies and Finite-State Controllers Using Classical Planners
    13 years 8 months ago
    Automatic Derivation of Memoryless Policies and Finite-State Controllers Using Classical Planners
    Download  www.tecn.upf.es
    Finite-state and memoryless controllers are simple action selection mechanisms widely used in domains such as videogames and mobile robotics. Memoryless controllers stand for func...
    Blai Bonet, Héctor Palacios, Hector Geffner
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    AAAI
    2008
    123views Intelligent Agents» more  AAAI 2008»
    Towards Faster Planning with Continuous Resources in Stochastic Domains
    13 years 9 months ago
    Towards Faster Planning with Continuous Resources in Stochastic Domains
    Download  www.aaai.org
    Agents often have to construct plans that obey resource limits for continuous resources whose consumption can only be characterized by probability distributions. While Markov Deci...
    Janusz Marecki, Milind Tambe
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