Based on soccer robot simulation as its research platform, this paper studies the learning of high level strategy of multi-agent adversarial system.
本文以足球仿真机器人系统为研究平台，研究多智能体对抗系统的高层策略学习问题。
On his new soccer team, my son is also learning Japanese rituals.
在足球队里，我儿子也在学习日本礼仪。
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。
This paper focuses on the hierarchical learning of high level strategy of soccer robot system.
本文集中研究足球机器人高层策略的分层学习。
Finally, point to the deficiency existing in the hierarchical learning technologies nowadays, which increase a new research task in the research of Robotic soccer.
最后，指出了当前机器人足球中分层学习技术存在的不足，为以后机器人足球研究又增加了一个新的研究课题。
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。
This paper firstly introduces robotic soccer system's research status, genetic programming and layered learning.
该文首先介绍了机器人足球系统的研究概况及遗传编程和层次学习的概念。
In this paper, a mechanism of behavior learning for soccer robot action selection based on Q learning and case based learning is proposed.
提出了一种足球机器人基于Q学习与案例学习(CBL)相结合的自主学习机制。
In this paper, a mechanism of behavior learning for soccer robot action selection based on Q learning and case based learning is proposed.
提出了一种足球机器人基于Q学习与案例学习(CBL)相结合的自主学习机制。
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