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    ROBOCUP
    1997
    Springer
    96views Robotics» more  ROBOCUP 1997»
    The RoboCup Synthetic Agent Challenge 97
    13 years 11 months ago
    The RoboCup Synthetic Agent Challenge 97
    Download  dli.iiit.ac.in
    RoboCup Challenge offers a set of challenges for intelligent agent researchers using a friendly competition in a dynamic, real-time, multiagent domain. While RoboCup in general en...
    Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela...
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    CLIMA
    2004
    140views Intelligent Agents» more  CLIMA 2004»
    The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
    13 years 8 months ago
    The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
    Download  centria.di.fct.unl.pt
    Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
    Christopher Child, Kostas Stathis
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    NIPS
    1993
    134views Information Technology» more  NIPS 1993»
    Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
    13 years 8 months ago
    Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
    Download  www.cs.cmu.edu
    Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
    Christopher G. Atkeson
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    IJON
    2007
    85views more  IJON 2007»
    Hierarchical dynamical models of motor function
    13 years 7 months ago
    Hierarchical dynamical models of motor function
    Download  www.oftnai.org
    Hierarchical models of motor function are described in which the motor system encodes a hierarchy of dynamical motor primitives. The models are based on continuous attractor neura...
    Simon M. Stringer, Edmund T. Rolls
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    INFORMATICALT
    2006
    88views more  INFORMATICALT 2006»
    Improving the Performances of Asynchronous Algorithms by Combining the Nogood Processors with the Nogood Learning Techniques
    13 years 7 months ago
    Improving the Performances of Asynchronous Algorithms by Combining the Nogood Processors with the Nogood Learning Techniques
    Download  www.mii.lt
    Abstract. The asynchronous techniques that exist within the programming with distributed constraints are characterized by the occurrence of the nogood values during the search for ...
    Ionel Muscalagiu, Vladimir Cretu
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