Showing 161 - 180 results of 4,198 for search '(( learning ((task decrease) OR (a decrease)) ) OR ( a ((large decrease) OR (larger decrease)) ))', query time: 0.63s Refine Results
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    Single agent and multi-agents tasks for <i>LazyAct</i>. by Hongjie Zhang (136127)

    Published 2025
    “…<div><p>Deep reinforcement learning has achieved significant success in complex decision-making tasks. …”
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    Strategy parameters across development for male mice in set size = 2 and set size = 4 from winning computational model. by Juliana Chase (20469427)

    Published 2024
    “…RL parameter <i>α</i><sub>+</sub> learning rate and decision noise parameter softmax <i>β</i> were stable across development in both set size = 2 (A-B) and set size = 4 (F-G). …”
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    Algorithms for designing continuous curricula A: Decision tree showing the continuous version of ADP which includes actions that “grow” and “shrink” the increments between continuo... by William L. Tong (22238845)

    Published 2025
    “…Similar to the discrete setting, INC shows catastrophic extinction and never learns the task for sufficiently small <i>ε</i>. Continuous ADP first decreases increment size and smoothly increases the difficulty level while balancing reinforcement and extinction.…”
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    Image 1_Effects of m6A methylation of MAT2A mRNA regulated by METTL16 on learning and memory, hippocampal synaptic plasticity and Aβ1–42 in 5 × FAD mice.jpeg by Huan Chen (6545)

    Published 2025
    “…Overexpression of METTL16 led to an increase in overall m<sup>6</sup>A methylation levels, furthermore, overexpression of either METTL16 or MAT2A enhanced learning and memory in 5 × FAD mice, elevated the expression levels of postsynaptic density 95 (PSD95) and synaptophysin (Syp), increased dendritic spine density, and decreased the accumulation of Aβ<sub>1–42</sub> in the hippocampus. …”
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    Image 2_Effects of m6A methylation of MAT2A mRNA regulated by METTL16 on learning and memory, hippocampal synaptic plasticity and Aβ1–42 in 5 × FAD mice.jpg by Huan Chen (6545)

    Published 2025
    “…Overexpression of METTL16 led to an increase in overall m<sup>6</sup>A methylation levels, furthermore, overexpression of either METTL16 or MAT2A enhanced learning and memory in 5 × FAD mice, elevated the expression levels of postsynaptic density 95 (PSD95) and synaptophysin (Syp), increased dendritic spine density, and decreased the accumulation of Aβ<sub>1–42</sub> in the hippocampus. …”
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    Data Sheet 1_Large language models for closed-library multi-document query, test generation, and evaluation.docx by Claire Randolph (19747105)

    Published 2025
    “…Knowledge tests need to be generated on new material and existing tests revised, tracking knowledge base updates. Large Language Models (LLMs) provide a framework for artificial intelligence-assisted knowledge acquisition and continued learning. …”
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    Observer model and human/model behavior for two observers. by Sarit F.A. Szpiro (21094755)

    Published 2025
    “…Due to sensory noise, likelihoods fluctuate across trials, with modes occasionally falling on the opposite side of the boundary relative to the stimulus. Regardless of the task, the observer performs a discrimination judgment by comparing the mass of the likelihoods on the two sides of the boundary. …”
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    Image 1_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

    Published 2025
    “…Introduction<p>This scientific investigation explored how meditation influences neural sound stimulus responses by employing EEG techniques during both meditative states and auditory oddball tasks. The study evaluated event-related potentials alongside theta, alpha and beta spectral power while employing machine learning techniques to distinguish meditative states from cognitive tasks.…”