Sciweavers

    ICML
    1995
    IEEE
    155views Machine Learning» more  ICML 1995»
    Stable Function Approximation in Dynamic Programming
    14 years 8 months ago
    Stable Function Approximation in Dynamic Programming
    Download  www.ri.cmu.edu
    The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
    Geoffrey J. Gordon
    claim paper
    Read More »
    ICML
    1995
    IEEE
    196views Machine Learning» more  ICML 1995»
    Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem
    14 years 8 months ago
    Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem
    Download  www.idsia.ch
    In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
    Luca Maria Gambardella, Marco Dorigo
    claim paper
    Read More »
    ICML
    1995
    IEEE
    127views Machine Learning» more  ICML 1995»
    Removing the Genetics from the Standard Genetic Algorithm
    14 years 8 months ago
    Removing the Genetics from the Standard Genetic Algorithm
    Download  www.cse.unr.edu
    Shumeet Baluja, Rich Caruana
    claim paper
    Read More »
    ICML
    1995
    IEEE
    123views Machine Learning» more  ICML 1995»
    Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
    14 years 8 months ago
    Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
    Download  www.cs.utexas.edu
    Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
    Justine Blackmore, Risto Miikkulainen
    claim paper
    Read More »
    ICML
    1995
    IEEE
    184views Machine Learning» more  ICML 1995»
    Residual Algorithms: Reinforcement Learning with Function Approximation
    14 years 8 months ago
    Residual Algorithms: Reinforcement Learning with Function Approximation
    Download  www.leemon.com
    A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
    Leemon C. Baird III
    claim paper
    Read More »
    ICML
    1996
    IEEE
    199views Machine Learning» more  ICML 1996»
    Applying the Multiple Cause Mixture Model to Text Categorization
    14 years 8 months ago
    Applying the Multiple Cause Mixture Model to Text Categorization
    Download  robotics.stanford.edu
    Mehran Sahami, Marti A. Hearst, Eric Saund
    claim paper
    Read More »
    ICML
    1996
    IEEE
    118views Machine Learning» more  ICML 1996»
    Representing and Learning Quality-Improving Search Control Knowledge
    14 years 8 months ago
    Representing and Learning Quality-Improving Search Control Knowledge
    Download  reference.kfupm.edu.sa
    Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...
    M. Alicia Pérez
    claim paper
    Read More »
    ICML
    1996
    IEEE
    101views Machine Learning» more  ICML 1996»
    Unsupervised Learning Using MML
    14 years 8 months ago
    Unsupervised Learning Using MML
    Download  reference.kfupm.edu.sa
    This paper discusses the unsupervised learning problem. An important part of the unsupervised learning problem is determining the numberofconstituent groups (componentsor classes)...
    Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wall...
    claim paper
    Read More »
    ICML
    1996
    IEEE
    119views Machine Learning» more  ICML 1996»
    Searching for Structure in Multiple Streams of Data
    14 years 8 months ago
    Searching for Structure in Multiple Streams of Data
    Download  www.cs.arizona.edu
    Finding structure in multiple streams of data is an important problem. Consider the streams of data owing from a robot's sensors, the monitors in an intensive care unit, or p...
    Tim Oates, Paul R. Cohen
    claim paper
    Read More »
    ICML
    1996
    IEEE
    162views Machine Learning» more  ICML 1996»
    Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning
    14 years 8 months ago
    Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning
    Download  reference.kfupm.edu.sa
    Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
    Sridhar Mahadevan
    claim paper
    Read More »
    « first‹ previous…234235236237238239240241242…next ›last »
    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.