基于学习的规划技术研究

Research of Learning-based Planning Techniques

经过近十多年的努力,现代智能规划器无论是效率还是处理能力均得到了极大提高。鉴于现有规划理论的局限性,进一步提高现有规划技术效率已愈显困难。现有的大多数规划器均不具备学习能力,无法从先前求解经验中学习有用知识。综述了基于学习的规划技术的发展现状,然后重点介绍了规划大赛中最佳学习器所使用的学习技术,最后指出当前基于学习的规划技术研究领域中存在的主要问题。

After nearly 10 years of effort,the mordern smart planner,whether its efficiency or processing capacity,all have been greatly enhanced.Subject to the limitations of current planning theory,to further enhance the efficiency of exi-sting planning techniques under current framework has become more difficult.Existing planners have not to learn ability,most of them,can not learn from previous experience,useful knowledge to solve.In this paper,we first review the development of planning techniques to learn,and then focused on learning techniques used on the best learning-based planner among international planning competition,concluded the main problems and challenges in current learning technology research of planning.