• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>20th European conference on artificial intelligence >Case-based Planning for Problems with Real-valued Fluents: Kernel Functions for Effective Plan Retrieval
【24h】

Case-based Planning for Problems with Real-valued Fluents: Kernel Functions for Effective Plan Retrieval

机译：基于案例的具有实际价值流利的问题的计划：有效检索计划的内核功能

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Case-based planning (CBP) re-uses existing plans as a starting point to solve new planning problems. In this work, we address CBP for planning in PDDL domains with real-valued fluents, that are essential to model real-world problems involving continuous resources. Specifically, we propose some new heuristic techniques for retrieving a plan from a library of existing plans that is promising for a new given planning problem, i.e., that can be efficiently adapted to solve the new problem. The effectiveness of these techniques, which derive much of their power from the use of the numerical information in the planning problem specification and in the library plans, is then evaluated by an experimental analysis.
机译：基于案例的计划（CBP）重用现有计划作为解决新计划问题的起点。在这项工作中，我们解决了CBP，以便在PDDL领域中使用具有实际价值的流利性进行规划，这对于建模涉及连续资源的现实问题至关重要。具体而言，我们提出了一些新的启发式技术，用于从现有计划的库中检索计划，该技术有望解决新的给定计划问题，即可以有效地解决新问题。然后，通过实验分析来评估这些技术的有效性，这些技术的有效性来自规划问题规范和图书馆计划中数字信息的使用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号