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    INFOCOM
    2007
    IEEE
    368views Communications» more  INFOCOM 2007»
    Optimal Jamming Attacks and Network Defense Policies in Wireless Sensor Networks
    15 years 11 months ago
    Optimal Jamming Attacks and Network Defense Policies in Wireless Sensor Networks
    Download  www.ee.washington.edu
    Abstract— We consider a scenario where a sophisticated jammer jams an area in a single-channel wireless sensor network. The jammer controls the probability of jamming and transmi...
    Mingyan Li, Iordanis Koutsopoulos, Radha Poovendra...
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    IEEEPACT
    2008
    IEEE
    136views Distributed And Parallel Com...» more  IEEEPACT 2008»
    Feature selection and policy optimization for distributed instruction placement using reinforcement learning
    15 years 11 months ago
    Feature selection and policy optimization for distributed instruction placement using reinforcement learning
    Download  userweb.cs.utexas.edu
    Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
    Katherine E. Coons, Behnam Robatmili, Matthew E. T...
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    AICCSA
    2005
    IEEE
    110views Hardware» more  AICCSA 2005»
    Optimal multi-class guard channel admission policy under hard handoff constraints
    15 years 11 months ago
    Optimal multi-class guard channel admission policy under hard handoff constraints
    Download  research.cs.queensu.ca
    Nidal Nasser, Hossam S. Hassanein
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    DCC
    2002
    IEEE
    115views Computer Graphics» more  DCC 2002»
    Computing Rate-Distortion Optimized Policies for Streaming Media to Wireless Clients
    15 years 10 months ago
    Computing Rate-Distortion Optimized Policies for Streaming Media to Wireless Clients
    Download  research.microsoft.com
    Jacob Chakareski, Behnaam Aazhang, Philip A. Chou
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    ACMSE
    2007
    ACM
    76views Theoretical Computer Science» more  ACMSE 2007»
    Using multi-agent systems for learning optimal policies for complex problems
    15 years 9 months ago
    Using multi-agent systems for learning optimal policies for complex problems
    Download  www.jiac.de
    Andreas Lommatzsch, Sahin Albayrak
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