Sciweavers

    1799 search results - page 80 / 360
    » Filtered Reinforcement Learning
    Sort
    View
    ICMLA
    2007
    92views Machine Learning» more  ICMLA 2007»
    Control of a re-entrant line manufacturing model with a reinforcement learning approach
    13 years 10 months ago
    Control of a re-entrant line manufacturing model with a reinforcement learning approach
    Download  www.smitlab.uc.edu
    This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
    José A. Ramírez-Hernández, Em...
    claim paper
    Read More »
    AIPS
    2006
    141views Artificial Intelligence» more  AIPS 2006»
    Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
    13 years 10 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
    claim paper
    Read More »
    ATAL
    2010
    Springer
    181views Intelligent Agents» more  ATAL 2010»
    Basis function construction for hierarchical reinforcement learning
    13 years 10 months ago
    Basis function construction for hierarchical reinforcement learning
    Download  www.cs.brown.edu
    This paper introduces an approach to automatic basis function construction for Hierarchical Reinforcement Learning (HRL) tasks. We describe some considerations that arise when con...
    Sarah Osentoski, Sridhar Mahadevan
    claim paper
    Read More »
    NECO
    2007
    150views more  NECO 2007»
    Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
    13 years 8 months ago
    Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
    Download  eprints.pascal-network.org
    Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
    Dorit Baras, Ron Meir
    claim paper
    Read More »
    NECO
    2007
    258views more  NECO 2007»
    Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
    13 years 8 months ago
    Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
    Download  www.coneural.org
    The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
    Razvan V. Florian
    claim paper
    Read More »
    Explore & Download
    Proceedings Preprints Top 5 Ranked Papers Publications Books Software Tutorials Presentations Lectures Notes Datasets
    Productivity Tools
    International On-screen Keyboard Graphical Social Symbols OCR Text Recognition CSS3 Style Generator Web Page to PDF Web Page to Image PDF Split PDF Merge Latex Equation Editor Sci2ools
    Document Tools
    PDF to Text PDF to Postscript PDF to Thumbnails Excel to PDF Word to PDF Postscript to PDF PowerPoint to PDF Latex to Word Repair Corrupted PDF
    Image Tools
    JPG to PS JPG to PDF Extract Images from PDF Image Converter
    Sciweavers
    About Community Cookies Privacy Policy Terms of Use

    Copyright © Sciweavers LLC, 2009-2024, USA.