q learning的例句大全

Stochastic Scheduling Algorithm for Multiple Mould and Die Manufacturing Projects Based on Multi-step Q Learning

基于多步Q学习的模具制造项目群随机调度算法

Metropolis Policy-based Multi-step Q Learning Algorithm and Performance Simulation

基于Metropolis准则的多步Q学习算法与性能仿真

Through studying Markov decision-making process and reinforcement learning algorithm, have designed the shoot module based on Q learning method.

通过研究Markov决策过程与再励学习算法，设计了基于Q学习方法的射门模块。

The agent has a high intelligence and can improve the learning ability according to the dynamic environment with the ability of Q learning.

学习使智能体具有较高的智能性，可以通过提高自己的学习能力适应不断变化的动态环境。

Convergence of Discretization Procedure in Q Learning Improved fuzzy arithmetic operator with discretization procedure for fuzzy fault tree new analysis

Q学习算法中网格离散化方法的收敛性分析基于离散化修正模糊算子的模糊故障树新析

The higher layer is a Q Learning unit defined on the space of combined action, its responsibility is the selection of a proper combined actions.

高层是建立在组合单元动作空间上的Q学习单元，实现组合动作的选择。

Discretization of the state and decision spaces is required when Q Learning is used to solve stochastic optimal control problems with continuous state and decision spaces.

要用Q学习算法来求解有连续状态和决策空间的随机最优控制问题，则需要先离散化问题的状态和决策空间。

The priority of handoff call is improved by giving it a greater reward, and we use event-driven Q learning algorithm to solve the problem.

通过赋予切换呼叫更大的报酬提高切换呼叫的优先级，并采用事件驱动Q学习算法求解该问题。

Finally, simulation examples illustrate that, compared to always accept policy, the event-driven Q Learning can heighten profit and lower handoff call dropping probability.

最后通过仿真实例说明，与总是接受策略相比，事件驱动Q学习能够提高网络收益，降低切换呼叫掉线率。

The paper had the main achievements as follows: ( 1) Based on Q learning algorithm storing information by table, the paper proposes the improved Q learning based on neural networks.

论文取得以下主要成果：（1）在表格型Q学习算法的基础上，提出了一种基于神经网络的改进的Q学习方法。

Mobile Robot Local Path Planning Based on Q Reinforcement Learning and CMAC

基于Q强化学习与CMAC的移动机器人局部路径规划

Q-learning method is an online reinforcement learning recently.

Q-learning算法是近期所提出的在线强化学习算法。

Q-learning algorithm in the reinforcement learning needs a lot of storage space while solving the more complex problems.

而强化学习中的Q学习算法在解决较为复杂问题时，需要大量的存储空间，忆阻交叉阵列恰好能够解决这个问题。

Learning work: A kind of "LD dual-end-pumped Nd: YV04 Q-switching green laser" is developed successfully.

学习性工作：研制出LD双端抽运Nd：YVO4调Q绿光激光器。

Improvement and Applications for Q-learning Reinforcement Learning Algorithms

Q-learning强化学习算法改进及其应用研究

an action research on the processive learning assessment q& a on sex

过程性学习评价行动研究

Q . s . For them, learning comes too easily and they never find out to buckle down.

对他们来说, 学习是件轻而易举的事,因而他们从未想过如何全力以赴地学习.