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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 9 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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    TSMC
    2008
    177views more  TSMC 2008»
    Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
    13 years 6 months ago
    Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
    Download  www.ece.uic.edu
    A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
    Derong Liu, Hossein Javaherian, Olesia Kovalenko, ...
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    FLAIRS
    2007
    166views Artificial Intelligence» more  FLAIRS 2007»
    Managing Dynamic Contexts Using Failure-Driven Stochastic Models
    13 years 10 months ago
    Managing Dynamic Contexts Using Failure-Driven Stochastic Models
    Download  www.aaai.org
    We describe an architecture for representing and managing context shifts that supports dynamic data interpretation. This architecture utilizes two layers of learning and three lay...
    Nikita A. Sakhanenko, George F. Luger, Carl R. Ste...
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    NIPS
    2008
    201views Information Technology» more  NIPS 2008»
    Using Bayesian Dynamical Systems for Motion Template Libraries
    13 years 9 months ago
    Using Bayesian Dynamical Systems for Motion Template Libraries
    Download  www.kyb.tuebingen.mpg.de
    Motor primitives or motion templates have become an important concept for both modeling human motor control as well as generating robot behaviors using imitation learning. Recent ...
    Silvia Chiappa, Jens Kober, Jan Peters
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    IJCNN
    2008
    IEEE
    193views Neural Networks» more  IJCNN 2008»
    Long-term prediction of time series using NNE-based projection and OP-ELM
    14 years 2 months ago
    Long-term prediction of time series using NNE-based projection and OP-ELM
    Download  www.cis.hut.fi
    Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
    Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury L...
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