ai人工智能在手机的应用_强化学习在人工智能中的应用

ai人工智能在手机的应用

The reinforcement learning is being used in many Intelligent Systems and the developers are seeing a great scope in it for current and future developments in the field of computers and robotics. This is because, the Reinforcement Learning till now is the most effective and simple way to make a computer system think, learn and act humanely. Due to this reason, this has been a field of attraction for the computer and industrial world. Some major projects which use this concept in their systems have already been developed and launched, and some are still under development. Due to more work output than humans in laborious works, such systems are high in demand in the industrial sectors.

强化学习已在许多智能系统中使用，并且开发人员看到其中的扩展范围适用于计算机和机器人技术领域的当前和未来发展。这是因为，到目前为止，强化学习是使计算机系统进行人性化思考，学习和行动的最有效，最简单的方法。由于这个原因，这已成为计算机和工业界的一个吸引领域。已经开发并启动了一些在其系统中使用此概念的大型项目，而某些仍在开发中。由于辛勤劳动中的劳动产出大于人类劳动，因此这种系统在工业领域中的需求很高。

强化学习的应用 (Applications of Reinforcement Learning)

Reinforcement Learning finds its applications in the following areas:

强化学习在以下领域有其应用：

Used in robotics for Industrial automation:
用于工业自动化机器人：

Most of the industries require man force either as laborers, workers or supervisors. Most of these have the same routine to follow each day and they have to work in the same manner in which they have been escorted. The robots designed to do such type of tasks prove to be more beneficial than humans as they do not require rest and they can be used for unlimited working hours. So, despite that, it makes thousands of people jobless, yet businessmen and great industry men chose the robots over humans for earning more profit.
大多数行业都需要劳动力，无论是工人，工人还是主管。这些大多数每天都有相同的例行程序，并且必须以陪同方式工作。事实证明，设计用于执行此类任务的机器人比人类更有利，因为它们不需要休息，并且可以无限次地使用。因此，尽管如此，它仍然使成千上万的人失业，但是商人和伟大的商人选择了机器人而不是人类，以赚取更多的利润。
Used in Machine Learning:
用于机器学习：

Reinforcement Learning is one of the major topics in Machine Learning and is currently in trend and is a major source of attraction for many researchers and developers.
强化学习是机器学习的主要主题之一，并且目前处于趋势中，并且是吸引许多研究人员和开发人员的主要来源。
Used in creating training systems and self-operating systems:
用于创建培训系统和自我操作系统：

reinforcement learning is being used to create different self-operating systems like self-driving cars, automated arms, House cleaning agents, etc. Apart from these, many training systems are also designed using it like the test conducting systems, systems which are able to have a human-like communication, systems which are able to receive any call and reply as per the going conversation, etc.
强化学习被用于创建不同的自我操作系统，例如自动驾驶汽车，自动手臂，房屋清洁剂等。除这些之外，还设计了许多培训系统，例如测试执行系统，拥有类似于人的交流能力，能够根据正在进行的对话接收任何呼叫和回复的系统，等等。
Used in Data Processing:
用于数据处理：

In Intelligent agents and expert systems which work in a dynamic and partially observable environment, the reinforcement learning is an effective and widely used way for Data Processing, as the conditions with uncertainty can be easily handled using it.
在动态的且部分可观察的环境中工作的智能代理和专家系统中，强化学习是一种有效且广泛使用的数据处理方式，因为不确定性条件可以使用它轻松处理。

Apart from this, there are still many uncovered areas where the Reinforcement Learning finds its application and there are also areas where the research and implementation process of the same is being performed.

除此之外，强化学习仍在许多未发现的领域找到了应用，并且还进行了研究和实施过程。