Showing 1 - 20 results of 5,301 for search '(( q learning algorithm ) OR ((( develop based algorithm ) OR ( element method algorithm ))))', query time: 0.52s Refine Results
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    The flowchart of QLDE algorithm. by Guanqun Wang (705958)

    Published 2025
    “…Subsequently, a parameter adaptive adjustment method based on <i>Q</i>-learning is proposed, which significantly augments the clustering performance of <i>K</i>-means. …”
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    Schematic diagram of <i>K</i>-means algorithm. by Guanqun Wang (705958)

    Published 2025
    “…Subsequently, a parameter adaptive adjustment method based on <i>Q</i>-learning is proposed, which significantly augments the clustering performance of <i>K</i>-means. …”
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    Performance of various biclustering algorithms on FilmTrust dataset with Q-learning. by Muhammad Waqar (500788)

    Published 2025
    “…<p>Performance of various biclustering algorithms on FilmTrust dataset with Q-learning.</p>…”
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    Performance of various biclustering algorithms on ML-100K dataset with Q- learning. by Muhammad Waqar (500788)

    Published 2025
    “…<p>Performance of various biclustering algorithms on ML-100K dataset with Q- learning.</p>…”
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    Performance of various biclustering algorithms on ML-latest-small dataset with Q-learning. by Muhammad Waqar (500788)

    Published 2025
    “…<p>Performance of various biclustering algorithms on ML-latest-small dataset with Q-learning.…”
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    Workshop Output: Embedding sustainability literacies in postdigital learning design by Clare Thomson (15468752)

    Published 2025
    “…The facilitators propose to develop a collection of crowd-sourced educator activities based on the workshop outputs for a collaborative OER, modelling the intersections of sustainability literacies, creative futures, and learning design.…”
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    Developed energy optimization model with LSC based on OAWDO algorithm. by Hisham Alghamdi (20114096)

    Published 2024
    “…<p>Developed energy optimization model with LSC based on OAWDO algorithm.…”
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    Neighborhood operators (actions) in Q-learning. by Zhongfeng Li (3965060)

    Published 2025
    “…<div><p>Coal blending in thermal power plants is a complex multi-objective challenge involving economic, operational and environmental considerations. This study presents a Q-learning-enhanced NSGA-II (QLNSGA-II) algorithm that integrates the adaptive policy optimization of Q-learning with the elitist selection of NSGA-II to dynamically adjust crossover and mutation rates based on real-time performance metrics. …”