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Showing 1 - 20 results of 1,077 for search '(( b ((larger decrease) OR (marked decrease)) ) OR ( learning agents decrease ))', query time: 0.50s Refine Results
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    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”
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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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    <b>Effect of Marked Weight Loss on Adipose Tissue Biology in People with Obesity and Type 2 Diabetes</b> by Dmitri Samovski (305400)

    Published 2025
    “…</p><p dir="ltr"><b>Results: </b>Weight loss: <a href="" target="_blank">i) </a><a href="" target="_blank">decreased adipose tissue </a>expression of genes related to extracellular matrix remodeling; ii) decreased adipose tissue expression of SERPINE 1 which encodes plasminogen activator inhibitor-1 (PAI-1); iii) did not decrease adipose tissue immune cell content or expression of genes involved in inflammation; iv) decreased adipose tissue ceramide content; v) decreased plasma <a href="" target="_blank">PAI-1 </a>and leptin concentrations and increased plasma high-molecular weight (HMW) adiponectin; and vi) decreased plasma small extracellular vesicle (sEV) concentration and the sEV content of microRNAs proposed to inhibit insulin action, and completely reversed the inhibitory effect of plasma sEVs on insulin signaling in myotubes.…”
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    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

    Published 2025
    “…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …”
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    Deep reinforcement learning agents trained using a curriculum solve navigation tasks with delayed rewards. by William L. Tong (22238845)

    Published 2025
    “…C: ADP outperforms INC and RAND (each teacher-student interaction is a step). The agent does not learn the task without a curriculum. …”
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    Network architectures for multi-agents task. by Hongjie Zhang (136127)

    Published 2025
    “…<div><p>Deep reinforcement learning has achieved significant success in complex decision-making tasks. …”
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