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    IJCNN
    2006
    IEEE
    150views Neural Networks» more  IJCNN 2006»
    Reinforcement Learning Control for Biped Robot Walking on Uneven Surfaces
    14 years 2 months ago
    Reinforcement Learning Control for Biped Robot Walking on Uneven Surfaces
    Download  www.cs.cmu.edu
    — Biped robots based on the concept of (passive) dynamic walking are far simpler than the traditional fullycontrolled walking robots, while achieving a more natural gait and cons...
    Shouyi Wang, Jelmer Braaksma, Robert Babuska, Daan...
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    AAAI
    2006
    127views Intelligent Agents» more  AAAI 2006»
    Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
    13 years 9 months ago
    Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
    Download  robotic.media.mit.edu
    As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
    Andrea Lockerd Thomaz, Cynthia Breazeal
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    RAS
    2010
    109views more  RAS 2010»
    Combining active learning and reactive control for robot grasping
    13 years 6 months ago
    Combining active learning and reactive control for robot grasping
    Download  www.kyb.mpg.de
    Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The system must decide both where and how to grasp the object. While selecting where to grasp...
    Oliver Krömer, Renaud Detry, Justus H. Piater...
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    LREC
    2010
    146views Education» more  LREC 2010»
    Annotation of Human Gesture using 3D Skeleton Controls
    13 years 9 months ago
    Annotation of Human Gesture using 3D Skeleton Controls
    Download  embots.dfki.de
    The manual transcription of human gesture behavior from video for linguistic analysis is a work-intensive process that results in a rather coarse description of the original motio...
    Quan Nguyen, Michael Kipp
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    ESANN
    2008
    278views Neural Networks» more  ESANN 2008»
    Learning to play Tetris applying reinforcement learning methods
    13 years 9 months ago
    Learning to play Tetris applying reinforcement learning methods
    Download  www.dice.ucl.ac.be
    In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
    Alexander Groß, Jan Friedland, Friedhelm Sch...
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