Get learning reinforcement with reminders everyday, via email that include translation, word definition and usage as well as audio and picture samples.
透过各种提醒功能加强学习状况，每天透过电邮-包括：翻译，单词定义，语法及影像来增进学习效果。
Research indicates that positive reinforcement motivates and has a greater effect on learning than criticism.
研究表明，正面激励比批评对学习更有效果。
Here the computational principle is reinforcement learning and active exploration, which may also be behind learning motor movements in an infant.
在这里计算原理是加强学习过程和主动探索过程，这些也许也是婴儿学习动机背后的原因。
Contemporary theories of reinforcement learning are rooted in the dopaminergic reward system.
当代的强化学习理论是基于多巴胺奖赏系统。
"As the rats were learning, that reinforcement signal goes away, because you really don't need it," Graybiel says.
“当老鼠学会了，加强信号也不见了，因为真的不需要了，”布耶尔说。
Reinforcement learning is a common technique for this scenario as well as the more traditional scenario of actually learning the utility function.
强化学习是这种情况下的常用技术，而更多的传统情形下需要使用效用函数。
This sample graph is from a simple reinforcement learning application that USES Q learning.
这个示例图是从使用Q学习的一个简单增强式学习应用程序中得到的。
Honeybees are frequently used as a neurobiological model for learning-they can be trained, using positive or negative reinforcement, to retain information.
蜜蜂经常被作为学习神经生物学的模型——它们可以被训练，用正负强化法保留信息。
Learning is of great importance in reinforcement learning.
学习是一种重要的强化学习算法。
Reinforcement learning based on Markov decision process is a way of on-line learning, which can be applied to single agent environment.
基于马尔科夫过程的强化学习作为一种在线学习方式，能够很好地应用于单智能体环境中。
The kindergarten interior space colorful bright, to meet the children lively nature, to stimulate the facial color, reinforcement learning children's cognitive ability.
幼儿园室内空间颜色鲜艳明快，迎合了孩子们活泼好动的天性，以色彩刺激五官，增强孩子的学习认知能力。
Several approaches applying reinforcement learning techniques to game playing have been described in the literature.
将强化学习技术运用于游戏的集中方法在文献里都有记载。
Reinforcement learning (RL) to motion planning of dynamic manipulation tasks was applied.
提出增强学习（RL）解决机器人动态操作任务运动规划的方法。
What are the differences between supervised learning and reinforcement learning?
监督学习与强化学习的区别是什么？
On the basis of theoretical analysis, the cooperative game reinforcement learning method is proposed and its convergence is proved.
在理论分析的基础上，提出了协同博弈的强化学习算法，并证明了算法的收敛性。
It is rational to adopt the average reward reinforcement learning algorithms for solving the absorbing goal states cyclical tasks.
对于有吸收目标状态的循环任务，比较合理的方法是采用基于平均报酬模型的强化学习。
According to the problem of mobile robot navigation in the unknown environment, a hybrid control method based on hierarchical reinforcement learning (HRL) is proposed.
针对未知环境下的移动机器人导航问题，本文提出了一种基于分层式强化学习的混合式控制方法。
The model adopts a new reinforcement function. All the methods can improve agent's learning velocity.
新的奖励函数和表示方法减少了学习空间、增加了学习速度。
Research on local path planning of mobile robot based on Q reinforcement learning and CMAC neural networks.
基于Q强化学习与CMAC神经网络的移动机器人局部路径规划研究。
An average reward reinforcement learning algorithm for control Markov chains is presented.
讨论平均准则控制马氏链的强化学习算法。
A reinforcement learning algorithm based on process reward and prioritized sweeping is presented as interference solving strategy.
本文提出了基于过程奖赏和优先扫除的强化学习算法作为多机器人系统的冲突消解策略。
Reinforcement learning is an important machine learning method. However, slow convergence has been one of main problem in practice.
强化学习是一种重要的机器学习方法，然而在实际应用中，收敛速度缓慢是其主要不足之一。
This paper discusses reinforcement learning(RL)algorithm and its application to technical action learning of soccer robot.
主要研究了强化学习算法及其在机器人足球比赛技术动作学习问题中的应用。
Due to the theoretical limitation that it assumes that an environment is Markovian, traditional reinforcement learning algorithms cannot be applied directly to multi-agent system.
由于强化学习理论的限制，在多智能体系统中马尔科夫过程模型不再适用，因此不能把强化学习直接用于多智能体的协作学习问题。
Can you explain the A. I. technique called reinforcement learning?
你能解释一下什么是“强化学习”技术吗？
Reinforcement learning has the ability to learn from experience as opposed to supervised learning which learns from examples.
与监督学习从范例中学习的方式不同，强化学习不需要先验知识，而是具有从经验中学习的能力。
Reinforcement learning has the ability to learn from experience as opposed to supervised learning which learns from examples.
与监督学习从范例中学习的方式不同，强化学习不需要先验知识，而是具有从经验中学习的能力。
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