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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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The status of a reversible reaction is conveniently assessed by evaluating its reaction quotient (Q). For a reversible reaction described by m A + n B ⇌ x C + y D, the reaction quotient is derived directly from the stoichiometry of the balanced equation as
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Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
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相关实验视频

Updated: Jul 23, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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通信高效和弹性分布式Q学习.

Yijing Xie, Shaoshuai Mou, Shreyas Sundaram

    IEEE transactions on neural networks and learning systems
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    此摘要是机器生成的。

    本研究介绍了多代理强化学习 (MARL) 的事件触发通信,以减少数据交换. 它还开发了一个适应性算法,用于MARL系统面临敌对代理,确保可靠的学习.

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    科学领域:

    • 控制理论 控制理论
    • 人工智能的人工智能
    • 分布式系统 分布式系统

    背景情况:

    • 多代理强化学习 (MARL) 涉及多个代理人在共享环境中学习最佳政策.
    • 现有的MARL算法通常需要代理之间进行广泛的通信,从而限制了可扩展性和效率.
    • 网络系统在代理人之间的协调和信息共享方面带来了挑战.

    研究的目的:

    • 为网络代理开发通信效率高和弹性MARL算法.
    • 在 MARL.中处理与敌对代理 (拜占庭袭击) 的场景.
    • 为了减少通信开销,同时保持学习绩效.

    主要方法:

    • 提出了一个事件触发式学习规则,只有在满足特定条件时才能实现通信.
    • 一个有弹性的MARL算法被设计用于处理拜占庭特工.
    • 在网络约束下对可靠代理的收性质的分析.

    主要成果:

    • 事件触发的方法显著减少了沟通频率,而不会影响学习.
    • 在拜占庭代理人的存在下,确定了最佳性和弹性之间的权衡.
    • 拟议的弹性算法证明了值函数对可靠代理的几乎确定的趋同.

    结论:

    • 事件触发通信为MARL在网络环境中提供了一种有效的替代方案.
    • 弹性MARL算法对于对抗敌对行为的强大性能至关重要.
    • 开发的方法为实用,安全和高效的MARL系统提供了基础.