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相关概念视频

Probability Distributions01:32

Probability Distributions

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 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
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Gradient and Del Operator01:14

Gradient and Del Operator

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In mathematics and physics, the gradient and del operator are fundamental concepts used to describe the behavior of functions and fields in space. The gradient is a mathematical operator that gives both the magnitude and direction of the maximum spatial rate of change. Consider a person standing on a mountain. The slope of the mountain at any given point is not defined unless it is quantified in a particular direction. For this reason, a "directional derivative" is defined, which is a vector...
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Uniform Distribution01:19

Uniform Distribution

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The uniform distribution is a continuous probability distribution of events with an equal probability of occurrence. This distribution is rectangular.
Two essential properties of this distribution are
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The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
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To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
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Extraction: Partition and Distribution Coefficients01:14

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The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
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分布政策梯度与分配价值函数

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    本研究引入了强化学习 (RL) 的分布政策梯度方法,增强探索并避免局部最佳. 新的方法,分发价值导向政策梯度 (DVDPG),在各种任务中表现优于传统方法.

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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
    • 强化学习是一种强化学习.

    背景情况:

    • 传统的强化学习 (RL) 算法估计了状态-动作对的预期回报.
    • 分布式RL算法模型作为随机变量返回,估计对更丰富的环境信息的返回分布.
    • 现有的研究已经广泛探索了以价值为基础的方法中的分布式RL,对政策梯度方法的应用有限.

    研究的目的:

    • 通过提出一种新的分配政策梯度方法来弥合研究差距.
    • 通过结合分布式价值函数来增强政策梯度估计.
    • 为了提高勘探效率,并在RL任务中逃避局部最佳情况.

    主要方法:

    • 提出了一个分布式政策梯度方法 (DVDPG),将分布式价值函数集成到政策梯度中.
    • 估计了政策梯度的分布,而不仅仅是预期.
    • 引入了两种政策梯度价值抽样机制:分布概率抽样和统一抽样.

    主要成果:

    • 拟议的DVDPG方法增强了政策梯度的随机性,改善了探索.
    • 分布概率采样在稀疏奖励任务中表现优越.
    • 这两种抽样机制在密集奖励任务中表现相似,传统方法被证明是特殊情况.
    • 在OpenAI-gym任务上的实验结果证明了该方法的效率,表现优于基线.

    结论:

    • 分布政策梯度方法 (DVDPG) 与传统方法相比,具有显著的优势.
    • 该方法有效地改善了各种奖励设置中的探索和政策优化.
    • DVDPG代表了强化学习的宝贵进步,特别是对于政策梯度算法.