您要查找的是不是：
- inverse reinforcement learning 逆向增强学习
- But reinforcement learning is bedeviled by the curse of dimensionality. 但强化学习方法一直被维数灾难所困扰。
- The fuzzy neural network (FNN) and reinforcement learning (RL) are integrated. 将模糊神经网络与强化学习理论相结合，构成模糊强化系统。
- This paper adopts reinforcement learning method to accomplish robot soccer cooperation strategy. 利用强化学习方法实现足球机器人协作策略。
- It improves the reinforcement learning method to adapt for the multi-agent learning environment. 它改进了传统的单智能体增强式学习方法，以适应多智能体环境的智能学习。
- ANNs are frequently used in reinforcement learning as part of the overall algorithm. 类神经网络被用在增强式学习整体演算法的一部分。
- A dynamic and real-time system integrating reinforcement learning with simulation is designed for job-shop scheduling. 摘要设计了一个强化学习和仿真相结合的动态实时车间作业排序系统。
- As one of machine learning, reinforcement learning not only has this function but also can expand the acquisitive resource. 作为机器学习的一种方法，增强学习恰可使知识的获取过程自动化，并扩展所能得到的知识资源范围。
- Tasks that fall within the paradigm of reinforcement learning are control problems, games and other sequential decision making tasks. 属于增强式学习的典范的工作是控制问题、赛局理论和其他连续的决策制定工作。
- The reinforcement learning algorithm was also introduced, since it has some relations with the colony algorithm and can be need in the problem of scheduling. 由于蚁群算法与人工智能中的强化学习算法之间有着某种联系，同时强化学习近年来也应用于求解调度问题，因此本文也涉及到了一些强化学习的主要算法。
- It has been shown that the method has more accurate forecasts,reinforcement learning properties and mapping capabilities by comparing with LPM,Fisher model and Logistic model. 通过与多元线性回归模型、Fisher模型和Logistic回归模型的预测结果对比表明,该方法具有预测精度高,学习与泛化能力强,适应性广的优点。
- To accomplish both off-line training and reinforcement learning, a CMAC (Cerebellar Model Articulation Controller) network is adopted to develop each knowledge base. 而为了达到离线的训练资料与强化学习能力，本研究对每一知识库发展一CMAC网路控制系统。
- The hierarchically structure is improved in learning process, it forms different hierarchical reinforcement learning (RL) method by adopting different RL algorithm. 递阶结构中嵌入不同的再励学习方法可以形成不同的递阶学习。
- Reinforcement learning theory and approaches are applied to JLQ model and Q function-based policy iteration algorithm is designed to optimize system performance. 将强化学习的理论和方法应用于JLQ模型，设计基于Q函数的策略迭代算法，以优化系统性能。
- Two different types of bidding strategy based on power generation scheduling and reinforcement learning are proposed for PJM electricity market and Zhejiang electricity market. 针对PJM市场模式和浙江市场模式，本文提出了两种不同类型的竞标策略，分别是基于优化调度的竞标策略和基于增强学习的竞标策略。
- A reinforcement learning controller based on CMAC neural networks using triangulation was studied and applied to the learning control of intercepting a ball in the RoboCup. 研究了一种基于三角剖分的小脑模型的增强学习控制器设计方法，并应用于机器人足球中单机器人截球的学习控制中。
- This is the inverse of his earlier proposition. 这和他早些时候提的建议截然相反。
- When did you begin learning English? 你何时开始学习英语的？
- Hierarchical reinforcement learning can be used to solve curse of dimensionality problem. MAXQ method decomposes the task into gubtasks in different levels through decomposing value function hierarchically, so it can be realized in low dimension space. 分层强化学习方法可用于解决维数灾难问题,MAXQ方法通过分层地分解值函效,将任务分解为不同层次上的子任务,从而只需在低维空间中解决问题。
