What is the translation of " 强化学习是 " in English?

• reinforcement learning is

Examples of using 强化学习是 in Chinese and their translations into English

分布强化学习是一种基于强化的机器学习。
Distributional reinforcement learning is a type of machine learning based on reinforcement..

一些专家认为强化学习是当前人工智能的圣杯。
Some experts believe reinforcement learning is the holy grail of current artificial intelligence.

强化学习是一种核心的机器学习方式，它允许软件代理从环境中学习，并通过执行某些操作来获得奖励。
Reinforcement learning is a central type of machine learning that lets software agents learn from the environment and receive rewards by performing certain actions.

虽然深度强化学习是人工智能研究中比较有趣的领域之一，但它在解决现实问题方面没有明显的进展。
While deep reinforcement learning is one of the more interesting areas of AI research, it has still had limited success in solving real-world problems.

强化学习是人工智能中讨论最多、关注最多和考虑最多的话题之一，因为它有潜力改变大多数行业。
Reinforcement learning is one of the most discussed, followed and contemplated topics in artificial intelligence(AI) as it has the potential to transform most businesses.

强化学习是一种机器被训练为一个特定的结果，唯一的目的是最大化的效率和/或性能。
Reinforcement learning is a case where the machine is trained for a specific outcome with the sole purpose of maximizing efficiency and/or performance.

强化学习是学习怎么做-如何将情境映射到行为-最大化数字奖励信号。
Reinforcement learning is learning what to do--how to map situations to actions--so as to maximize a numerical reward signal.

强化学习是最古老的机器学习类型之一，它在教授计算机如何玩游戏时非常有用。
Reinforcement learning is one of the oldest types of machine learning, and it is very useful in teaching a computer how to play a game.

强化学习是一个框架，能将机器学习的重点从模式识别转变到经验驱动的序列决策上。
Reinforcement learning is a framework that shifts the focus of machine learning from pattern recognition to experience-driven sequential decision-making.

深度强化学习是强化学习（RL）和深度学习的组合。
Deep reinforcement learning is the combination of reinforcement learning(RL) and deep learning..

强化学习是另一种机器学习范式，主要用于顺序决策。
Reinforcement learning is a different machine learning paradigm that is mostly used for sequential decision making.

在许多复杂的领域，强化学习是实现高水平智能体的唯一可行方法。
In many complex domains, reinforcement learning is the only feasible way to train a program to perform at high levels.

强化学习是一种理解和自动进行目标导向学习和决策的计算方法。
Reinforcement learning is a computational approach to understanding and automating goal-directed learning and decision-making.

强化学习是机器学习的一种，在这种方法下，机器并不了解人类在这种情况下会做什么。
Reinforcement learning is a type of machine learning where the learner doesn't get to know what a human would do in this context.

强化学习是使用最少的人工智能的类型，它没法向人们或是企业提供一些即时的安全威胁或价值。
Reinforcement learning is among the least used types of AI, and it offers few immediate safety threats or value to people and businesses.

强化学习是一种理解和自动进行目标导向学习和决策的计算方法。
Reinforcement Learning is a computational approach to understand and automate the goal-oriented learning and decision making.

深度强化学习是深度学习与强化学习的融合，是将深度神经网络整合到强化学习框架当中。
Deep reinforcement learning is a fusion of deep learning and reinforcement learning, which integrates deep neural networks into the framework of reinforcement learning..

强化学习是监督学习和无监督学习之间的一个空间，有可能改善或加倍努力。
Reinforcement learning is a space between supervised learning and unsupervised learning where there is a chance of either improvement or going the extra mile.

机器学习是一组用于处理数据的编程工具，深度学习或强化学习是其中的一个子集。
Machine learning is a set of programming tools to work with data and deep learning or reinforcement learning is a subset within that.

在强化学习中尤其如此，强化学习是AI研究的最热门领域之一。
This is especially true in reinforcement learning, which is one of the hottest areas of AI research.

强化学习是机器学习的子领域，在强化学习中，系统通过接收虚拟“奖励”或“惩罚”来得到训练，这实际上是通过试错法来学习。
Reinforcement learning is a subfield of machine learning in which systems are trained by receiving virtual“rewards” or“punishments”, essentially learning by trial and error.

强化学习是一种行为学习模型。
Reinforcement learning is a behavioral learning model.

为什么强化学习是如此令人激动.
Why reinforcement learning is so exciting.

深度强化学习是人工智能研究的前沿。
Deep reinforcement learning is at the forefront of AI research.

为什么强化学习是如此令人激动.
Why learning is so exciting.

和遗传算法一样，强化学习是一种非监督学习。
Like genetic algorithms, Reinforcement Learning is an unsupervised learning problem.

自动化机器学习是其中之一，强化学习是另一个。
Automated Machine Learning is one and Reinforcement Learning is the other.

强化学习是用于实现自动驾驶汽车的技术之一；.
Reinforcement Learning is one of the technologies that are used to make self-driving cars a reality;

强化学习是机器人研究领域一个特别热门的研究方向。
Reinforcement learning is a particularly hot research area in robotics.

强化学习是关于人类（或者更一般的动物）学习的重要模型。
Reinforcement learning is an important model of how we(and all animals in general) learn..