摘要
文章研究了Q-learning算法,并且基于该算法,对煤矿井下机器人的移动路径进行了规划,并且对规划方案进行了仿真分析,通过研究发现Q-learning算法的路径规划能力优越,特别是对于条件极为恶劣、工况十分复杂的煤矿井下作业环境而言,能够较好地获取满意的规划结果。
This paper studies the Q-learning algorithm, and based .on this algorithm, the coal mine underground robot moving path for the planning, and to plan a simulation analysis was carried out, through the study found that the Q-learning algorithm path planning ability is superior, especially for condition is very bad, very complex conditions of coal mine underground work environment is concerned, to better obtain satisfactory planning results.
出处
《煤炭技术》
CAS
北大核心
2013年第9期33-34,共2页
Coal Technology
