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    AROBOTS
    2002
    115views more  AROBOTS 2002»
    Statistical Learning for Humanoid Robots
    13 years 7 months ago
    Statistical Learning for Humanoid Robots
    Download  www-clmc.usc.edu
    The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
    Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
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    ICML
    2005
    IEEE
    127views Machine Learning» more  ICML 2005»
    Exploration and apprenticeship learning in reinforcement learning
    14 years 8 months ago
    Exploration and apprenticeship learning in reinforcement learning
    Download  ai.stanford.edu
    We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
    Pieter Abbeel, Andrew Y. Ng
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    ICML
    2005
    IEEE
    188views Machine Learning» more  ICML 2005»
    High speed obstacle avoidance using monocular vision and reinforcement learning
    14 years 8 months ago
    High speed obstacle avoidance using monocular vision and reinforcement learning
    Download  ai.stanford.edu
    We consider the task of driving a remote control car at high speeds through unstructured outdoor environments. We present an approach in which supervised learning is first used to...
    Jeff Michels, Ashutosh Saxena, Andrew Y. Ng
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    QSHINE
    2009
    IEEE
    251views Computer Networks» more  QSHINE 2009»
    Cooperative Training in Wireless Sensor and Actor Networks
    14 years 2 months ago
    Cooperative Training in Wireless Sensor and Actor Networks
    Download  www1.isti.cnr.it
    Exploiting features of high density wireless sensor networks represents a challenging issue. In this work, the training of a sensor network which consists of anonymous and asynchro...
    Francesco Betti Sorbelli, Roberto Ciotti, Alfredo ...
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    ICCCN
    2007
    IEEE
    112views Communications» more  ICCCN 2007»
    On Improving the Precision of Localization with Minimum Resource Allocation
    14 years 2 months ago
    On Improving the Precision of Localization with Minimum Resource Allocation
    Download  rtl.e-technik.uni-rostock.de
    — Autonomous localization of nodes in wireless sensor networks is essential to minimize the complex self organization task and consequently enhancing the overall network lifetime...
    Frank Reichenbach, Dirk Timmermann
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