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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 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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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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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

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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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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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可解释深度强化学习的微分逻辑策略:从优化角度进行的一项研究.

Xin Li, Haojie Lei, Li Zhang

    IEEE transactions on pattern analysis and machine intelligence
    |June 13, 2023
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    概括

    本研究介绍了可解释的深度强化学习 (DRL) 的微分感应逻辑编程 (DILP). 政策优化镜像下降 (MDPO) 有效地解决了基于DILP的政策的限制,提高了可解释性.

    科学领域:

    • 人工智能的人工智能
    • 机器学习 机器学习
    • 深度强化学习学习 (deep reinforcement learning) 是一种深度强化学习的方法.

    背景情况:

    • 政策的解释性是深度强化学习 (DRL) 中的一个重大挑战.
    • 当前的DRL方法往往缺乏透明度,阻碍了理解和信任.
    • 使用象征性方法表示政策可以提高解释性.

    研究的目的:

    • 探索可解释的深度强化学习 (DRL),通过用可差别导入逻辑编程 (DILP) 来表示政策.
    • 从优化角度提供基于DILP的政策学习的理论和实证分析.
    • 为基于DILP的政策引入一种新的优化方法.

    主要方法:

    • 使用可微分感应逻辑编程 (DILP) 来表示DRL策略.
    • 制定基于DILP的政策学习作为一个受约束的政策优化问题.
    • 提出和分析政策优化镜像下降 (MDPO) 以处理DILP政策约束.
    • 用函数近似推导MDPO的封闭形式遗憾边界.
    • 调查基于DILP的政策的凸性.

    主要成果:

    • 识别了基于DILP的政策学习作为一个受约束的优化问题.

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  • 开发了政策优化镜像下降 (MDPO) 作为DILP政策限制的有效解决方案.
  • 导出了MDPO的理论遗憾边界,帮助DRL框架设计.
  • 与主流方法相比,经验结果验证了MDPO及其政策变体的有效性.
  • 通过研究基于DILP的政策凸度来证明MDPO的好处.
  • 结论:

    • 微分感应逻辑编程 (DILP) 为可解释的深度强化学习 (DRL) 提供了一个有前途的方法.
    • 政策优化镜像下降 (MDPO) 为优化受约束的基于DILP的政策提供了理论上合理且经验上有效的方法.
    • 拟议的框架提高了政策的解释性,同时保持了在DRL任务中的竞争性表现.