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相关概念视频

Reinforcement Schedules01:24

Reinforcement Schedules

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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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Associative Learning01:27

Associative Learning

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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...
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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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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.
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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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交互式符号回归与共同设计机制通过离线强化学习.

Yuan Tian1,2, Wenqi Zhou1,3, Michele Viscione3

  • 1Institute for Building Materials, ETH Zürich, Zürich, Switzerland.

Nature communications
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概括

符号回归 (SR) 现在可以通过使用符号Q网络的专家知识来增强. 这种交互式框架改善了方程发现,在现实世界的应用中表现优于标准模型.

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科学领域:

  • 人工智能的人工智能
  • 机器学习 机器学习
  • 科学发现 科学发现 发现

背景情况:

  • 符号回归 (SR) 旨在从数据中找到数学表达式.
  • 现有的SR方法在很大的搜索空间和集成领域知识方面扎.
  • 在SR中的变压器模型往往缺乏专家交互能力.

研究的目的:

  • 引入象征性Q网络,这是大规模SR的交互性框架.
  • 利用强化学习和专家共同设计来改善方程发现.
  • 克服现有的基于变压器的SR方法的局限性.

主要方法:

  • 开发了一个新的交互式SR框架Symbolic Q-network.
  • 在没有基于变压器的解码器的情况下利用强化学习.
  • 实施了共同设计机制,以实现无专家在循环中的集成.

主要成果:

  • 象征性Q网络的表现与在基准上预先训练的模型相美.
  • 交互式共同设计显著提高了对现实世界问题的性能.
  • 与标准自回归模型相比,实现了优越的性能增长.

结论:

  • 象征性Q网络为SR提供了一种有效的交互式方法.
  • 通过共同设计整合领域专家知识对于SR成功至关重要.
  • 这个框架推动了自动化科学发现领域的发展.