的强化学习 英语是什么意思 - 英语翻译

• reinforcement learning
• reinforcement studying

在 中文 中使用 的强化学习 的示例及其翻译为 英语

虽然如此，带有神经网络的强化学习已经取得一些显著成就。
Nevertheless, reinforcement learning with neural networks has had some notable successes.

DavidSilver的强化学习.
Reinforcement Learning course by David Silver.

AlphaGoZero的强化学习.
In the more recent AlphaGo Zero reinforcement learning systems.

DavidSilver的强化学习.
David Silver's Reinforcement Learning.

对人类行为的强化学习循环.
A reinforcement learning loop for human behavior.

我在serieshub中介绍过最基本的强化学习的内容。
As I introduced very basic what Reinforcement Learning is in the series hub.

基于模型的强化学习.
Model based reinforcement learning.

GQN的表征支持鲁棒性、数据效率高的强化学习。
The GQN's representation allows for robust, data-efficient reinforcement learning.

基于模型的强化学习.
Rethinking Model-based Reinforcement Learning.

更好的强化学习/深度学习和强化学习的整合。
Better reinforcement learning/integration of deep learning and reinforcement learning.

OpenAIGym是一个很有潜力的强化学习框架）。
(OpenAI Gym is a promising framework for reinforcement learning.).

拉斯·奥尔特曼：今天一切的未来，未来的强化学习。
Russ Altman: Today on The Future of Everything, the future of reinforcement learning.

同样，基于情绪的强化学习也可以使用这种有效的机制，用相似的情绪效价来驱动机器学习。
In much the same way, this emotion-based Reinforcement Learning could represent a powerful mechanism for using these very same emotional valences to fuel machine learning..

我们的研究结果全面地证明，一个纯粹的深度强化学习方法是完全可行的，即使在最具挑战性的领域。
Our results comprehensively demonstrate that a pure[deep] reinforcement learning approach is fully feasible, even in the most challenging of domains”.

他认为，教会机器通过观察世界来学习需要自监督学习或基于模型的强化学习。
He stated that educating machines to study by way of statement of the world would require self-supervised studying, or model-based reinforcement studying.

我们认为，采用基于模型的强化学习，可以扩展机器人系统目前有限的适应性特征。
We argue that, by employing model-based reinforcement learning, the- now limited- adaptability characteristics of robotic systems can be expanded.

他说，通过观察世界训练机器来学习将需要监督学习或基于模型的强化学习。
He stated that educating machines to study by way of statement of the world would require self-supervised studying, or model-based reinforcement studying.

相比之下，最先进的深度强化学习方法，比如IndependentPPO，无法在游戏中学习这样的策略。
In contrast, state-of-the-art deep reinforcement learning methods, like Independent PPO, fail to learn such strategies in these domains.

年，我们将看到更多的强化学习在神经网络上的应用，以及更多神经网络领域的自然语言处理和视觉的研究。
In 2017, we will see more reinforcement learning in neural networks, more research on neural networks in NLP& vision.

他们的方法采用以用户为中心的强化学习来分析机器人传感器收集的数据，从而使机器人能够相应地调整其动作。
Their approach employs user-centered reinforcement learning to analyze data collected by a robot's sensors, so that it can adapt its actions accordingly.

同时他还指出，教会机器通过观察世界来学习，将需要自监督学习或基于模型的强化学习。
He said that teaching machines to learn through observation of the world will require self-supervised learning, or model-based reinforcement learning.

他认为，教会机器通过观察世界来学习需要自监督学习或基于模型的强化学习。
He said that teaching machines to learn through observation of the world will require self-supervised learning, or model-based reinforcement learning.

RichardS.Sutton教授被认为是现代计算的强化学习创立者之一。
Professor Richard Sutton is considered to be one of the founding fathers of modern computational reinforcement learning.

谷歌和优步都表示，他们还测试了自己驾驶汽车的强化学习。
Both Google and Uber say they are also testing reinforcement learning for their self-driving vehicles.

他说，教学机器要通过观察世界来学习，就需要自我监督学习，或基于模型的强化学习。
He said that teaching machines to learn through observation of the world will require self-supervised learning, or model-based reinforcement learning.

AlphaZero深度神经网络的参数，通过自我博弈的强化学习来训练，从随机初始化的参数开始。
The parameters θ of the deep neural network in AlphaZero are trained by reinforcement learning from self-play games, starting from randomly initialized parameters θ.

这与我们在本书后面研究的强化学习方法没有什么不同。
In the end, this is not that different from some of the reinforcement learning methods we examine later in this book.

我们没有太详细地提到的强化学习的另一个重要优势，即我们对环境有一定的控制权。
Another crucial advantage of RL that we haven't mentioned in too much detail is that we have some control over the environment.

AlphaGoZero使用新的强化学习方法，让自己变成了老师。
AlphaGo Zero uses a novel form of reinforcement learning in which it becomes its own teacher.