The fifth part of this dissertation learns from mankind who make sure through the prediction, and combines the state prediction with the reinforcement learning uses for multi-mobile robot system on path planning.
第五,借用人类在动态复杂环境下确定自己下一步行动的预测机制思想,本文将状态预测的方法与强化学习相结合,用于多移动机器人系统环境探索下的路径规划。
参考来源 - 基于状态预测强化学习的移动机器人路径规划研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Study on state prediction for electronic system.
电子系统的状态预测研究。
State invariants were used for the state prediction.
对状态的预测使用状态不变量；
A new method of particle state prediction that based on motion-functional modeling can maintain robustness and accuracy is introduced in this article.
针对这一问题，本文中提出一种通过运动函数化建模并利用模型进行粒子状态预测，以保证跟踪准确性与鲁棒性的方法。
应用推荐