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    » Using Stochastic Grammars to Learn Robotic Tasks
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    AIPS
    2006
    141views Artificial Intelligence» more  AIPS 2006»
    Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
    13 years 7 months ago
    Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
    Download  www.aaai.org
    We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
    Malcolm J. A. Strens
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    FLAIRS
    2008
    127views Artificial Intelligence» more  FLAIRS 2008»
    Learning in the Lexical-Grammatical Interface
    13 years 8 months ago
    Learning in the Lexical-Grammatical Interface
    Download  www.aaai.org
    Children are facile at both discovering word boundaries and using those words to build higher-level structures in tandem. Current research treats lexical acquisition and grammar i...
    Tom Armstrong, Tim Oates
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    IROS
    2007
    IEEE
    144views Robotics» more  IROS 2007»
    Using reinforcement learning to adapt an imitation task
    13 years 12 months ago
    Using reinforcement learning to adapt an imitation task
    Download  lasa.epfl.ch
    Abstract— The goal of developing algorithms for programming robots by demonstration is to create an easy way of programming robots that can be accomplished by everyone. When a de...
    Florent Guenter, Aude Billard
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    ACL
    2000
    89views Computational Linguistics» more  ACL 2000»
    Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training
    13 years 7 months ago
    Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training
    Download  acl.ldc.upenn.edu
    We present a new approach to stochastic modeling of constraintbased grammars that is based on loglinear models and uses EM for estimation from unannotated data. The techniques are...
    Stefan Riezler, Detlef Prescher, Jonas Kuhn, Mark ...
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    EUSFLAT
    2001
    144views Fuzzy Logic» more  EUSFLAT 2001»
    Adaptive torque control using a connectionist reinforcement learning agent
    13 years 7 months ago
    Adaptive torque control using a connectionist reinforcement learning agent
    Download  www.eusflat.org
    The correction of angular misalignment between mating components is a fundamental requirement for their successful assembly. In this paper we present how a learning agent based on...
    Lorenzo Brignone, Martin Howarth, S. Sivayoganatha...
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