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相关概念视频

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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Observational Learning01:12

Observational Learning

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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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Reinforcement Schedules01:24

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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,...
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Avoidance Learning and Learned Helplessness01:14

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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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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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E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
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可转换的高斯奖励函数用于使用深度强化学习的社会意识导航.

Jinyeob Kim1, Sumin Kang2, Sungwoo Yang2

  • 1Department of Artificial Intelligence, College of Software, Kyung Hee University, Yongin 17104, Republic of Korea.

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|July 27, 2024
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概括
此摘要是机器生成的。

这项研究引入了可转换的高斯奖励函数 (TGRF),以改善机器人在拥挤地区的导航. TGRF简化了奖励函数的设计,并提高了社会意识的导航系统的学习速度.

关键词:
人工智能的人工智能机器学习是机器学习.强化学习是一种强化学习.奖励塑造方式奖励塑造方式机器人编程 机器人编程机器人机器人机器人机器人机器人机器人

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能

背景情况:

  • 机器人导航正在向人类机器人互动的社会意识战略发展.
  • 强化学习 (RL) 正在推动社会意识的导航,但奖励函数设计具有挑战性,特别是在拥挤的环境中.
  • 目前手动设计的奖励函数存在超参数问题和对象特征的表现不佳.

研究的目的:

  • 为了应对设计奖励功能的挑战,为社会意识的机器人导航.
  • 引入一种新的,可适应的奖励功能,简化调整并提高性能.
  • 在以人为中心的机器人应用中提高深度强化学习 (DRL) 的效率和有效性.

主要方法:

  • 开发了一个可转换的高斯奖励函数 (TGRF),具有独立运行的超参数.
  • 设计的TGRF具有适应性,允许各种奖励功能应用.
  • 机器人导航任务的深度强化学习 (DRL) 框架内集成的TGRF.

主要成果:

  • TGRF显著降低了奖励功能调整的复杂性.
  • 由于TGRF的可变性,可以在各种导航场景中灵活应用.
  • 实验和模拟显示了高性能和加速的学习率使用TGRF在DRL.

结论:

  • 对于社会意识的机器人导航,TGRF提供了一种更高效,更有效的方法来奖励功能设计.
  • 拟议的方法简化了可以安全有效地与人类一起导航的机器人的开发.
  • 在复杂的,动态的环境中,TGRF对推进DRL能力的表现非常有希望.