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相关概念视频

Observational Learning01:12

Observational Learning

186
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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Reinforcement01:23

Reinforcement

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Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
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Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
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Associative Learning01:27

Associative Learning

407
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
407
Reinforcement Schedules01:24

Reinforcement Schedules

156
Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
156
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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Investigating Motor Skill Learning Processes with a Robotic Manipulandum
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WToE:在多代理强化学习中学习何时探索

Shaokang Dong, Hangyu Mao, Shangdong Yang

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    此摘要是机器生成的。

    本研究介绍了"何时探索" (WToE),这是一种在非静止环境中进行多代理探测的新方法. WToE有效地适应不断变化的动态,改进勘探策略并确保融合.

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    相关实验视频

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    科学领域:

    • 人工智能的人工智能
    • 强化学习是一种强化学习.
    • 机器人技术 机器人技术 机器人技术

    背景情况:

    • 现有的多剂探测方法对于由剂相互作用引起的非静态环境是不够的.
    • 多代理系统中的非静态性是由代理行为引起的动态变化引起的.

    研究的目的:

    • 提出一种新的探索方法,即"何时探索" (WToE),旨在解决多代理环境中的非静止性.
    • 开发一种适应性勘探机制,有效地处理因代理物相互作用而导致的环境变化.

    主要方法:

    • 引入了一个带有隐性变量的图形模型,以捕捉相互作用的阶段级环境变化.
    • 使用监督变量自动编码器 (VAE) 框架,从历史数据中推断短期政策.
    • 代理人探索当短期推断政策与当前的行为者政策分歧时,适应非静止性.

    主要成果:

    • 拟议的WToE方法证明了Q值函数的理论收保证.
    • 在网格,多代理粒子和MAgent环境中的实验验证显示了WToE在基线上的优势.
    • WToE的表现优于已有的方法,如MAEXQ,NoisyNets,EITI和PR2.

    结论:

    • WToE是一种简单而有效的变异性探索方法,用于非静止的多代理环境.
    • 面向交互的自适应机制使WToE能够成功地管理环境动态.
    • WToE在多代理勘探中提供了显著的进步,提供了卓越的性能和理论保证.