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。
Simulation machine car through reinforcement learning algorithm, learning optimal navigation strategies.
说明：模拟智能机器小车，通过强化学习算法，学习最优导航策略。
Q learning algorithm is the most popular reinforcement learning algorithm, but the algorithm exist some problems.
目前主流的强化学习算法是Q学习算法，但Q学习本身存在一些问题。
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。
Multi-Agent technology achieves the personalized in ITS, and reinforcement learning algorithm makes teaching strategies with the intelligent.
多代理体技术实现了教学的个性化，强化学习算法使得教学策略具有智能化。
A fighter safe landing lateral-directional control method is presented based on reinforcement learning algorithm (RL), using hierarchical control of dynamical large-scale systems theory.
基于大系统递阶控制思想，提出了一种运用再励学习算法设计歼击机自动着陆横侧向协调控制系统的方法。
In this paper Q reinforcement learning algorithm is adopted for mobile robot local path planning. It makes mobile robot resolve the problem of local path planning in a complex environment.
将Q强化学习算法应用于移动机器人局部路径规划，解决了移动机器人在复杂环境中的局部路径规划问题。
And through compare with non-Evolutionary Map building method, the Evolutionary Reinforcement learning algorithm can increase search map efficiency and expedite convergence speed of global map.
通过与非进化模式下的多机器人地图构建方法的比较，该算法可以提高地图搜索的效率，加快全局地图的收敛。
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。
By adopting the value iterative strategies of reinforcement learning, the algorithm can absorb the corresponding knowledge from its environment during its running and improve its search ability.
该算法采用强化学习中值迭代策略，在运行中能够从环境中获取相应知识，提高其搜索能力。
A network spider algorithm based on the reinforcement learning is proposed and deployed to discovery the web site of dinning.
提出了基于强化学习的网络爬虫算法，并应用于餐饮类站点的发现中。
The paper proposes a model of reinforcement learning based on ant colony algorithm, namely the combination of ant colony algorithm and Q learning.
本文提出了一种基于蚁群算法的强化学习模型，即蚁群算法与Q学习相结合的思想。
The paper proposes a model of reinforcement learning based on ant colony algorithm, namely the combination of ant colony algorithm and Q learning.
本文提出了一种基于蚁群算法的强化学习模型，即蚁群算法与Q学习相结合的思想。
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