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相关概念视频

Decision Making: P-value Method01:09

Decision Making: P-value Method

5.5K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Lazarus's Cognitive Appraisal Theory01:20

Lazarus's Cognitive Appraisal Theory

278
Cognitive psychologist Richard Lazarus proposed the cognitive-mediational theory of emotions, which emphasizes how individuals' assessments of stressors significantly affect their experience of stress. According to Lazarus, the stress response is determined by a two-step appraisal process: primary appraisal and secondary appraisal. These cognitive appraisals help individuals evaluate the potential impact of a stressor and determine the adequacy of their coping resources.
Primary Appraisal:...
278
Naturalistic Observations02:30

Naturalistic Observations

15.5K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
15.5K
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.2K
Social Loafing01:37

Social Loafing

34.8K
Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated,...
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Indirect-Acting Cholinergic Agonists: Chemistry and Structure-Activity Relationship01:29

Indirect-Acting Cholinergic Agonists: Chemistry and Structure-Activity Relationship

606
Indirect-acting cholinergic agonists are agents that interact with the acetylcholinesterase enzyme in the synaptic cleft, preventing the breakdown of acetylcholine into choline and acetate. Consequently, the concentration of acetylcholine in the synaptic cleft increases. These agonists can be classified into reversible and irreversible inhibitors based on their duration of action.
Reversible inhibitors display short to medium durations of action. Short-acting agents include simple alcohols with...
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相关实验视频

Updated: Jul 17, 2025

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
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温和的政策评估对于线下行为者-批评者来说.

Longyang Huang, Botao Dong, Jinhui Lu

    IEEE transactions on neural networks and learning systems
    |September 7, 2023
    PubMed
    概括

    线下关键演员算法对分布之外的行动的乐观价值估计有所影响. 我们建议温和的政策评估 (MPE) 限制价值差异,改善线下强化学习 (RL) 的表现.

    科学领域:

    • 人工智能的人工智能
    • 机器学习 机器学习
    • 强化学习是一种强化学习.

    背景情况:

    • 线下关键演员 (AC) 算法面临分布式转移的挑战,导致对分布外 (OOD) 动作的高估值.
    • 现有的价值规范化方法通过学习保守的价值函数来减轻这种情况,通常会导致性能下降.

    研究的目的:

    • 引入一种新的方法,即温和政策评估 (MPE),以解决离线AC算法中的乐观价值估计.
    • 分析MPE的理论性质,包括收和值函数近似误差.
    • 开发和评估一个轻度离线交流 (MOAC) 算法,集成MPE.

    主要方法:

    • 通过限制目标政策行动和离线数据集行动之间的价值差异,拟议的MPE.
    • 开发了轻度离线AC (MOAC) 算法,将MPE纳入政策之外的AC.
    • 进行了MPE的收,价值函数差距和次优度的理论分析.

    主要成果:

    • 在MOAC中的值函数差距是由采样错误所限制的.
    • 理论分析表明,真实状态值函数可以在没有采样错误的情况下恢复.
    • 在D4RL基准数据集上的实验结果证实了MPE的有效性和MOAC在最先进的离线RL算法上的优越性能.

    更多相关视频

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    A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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    Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
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    A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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    结论:

    • 温和的政策评估 (MPE) 有效地减轻了离线AC中的乐观价值估计.
    • 拟议的轻度离线交流 (MOAC) 算法证明了性能和理论保证的改进.
    • MOAC代表了线下强化学习的重大进步,优于现有的方法.