State-Continuity Approximation of Markov Decision Processes via Finite Element Analysis for Autonomous System Planning.

IEEE Robotics and Automation Letters(2020)

引用 5|浏览380
暂无评分
摘要
Motion planning under uncertainty for an autonomous system can be formulated as a Markov Decision Process with a continuous state space. In this letter, we propose a novel solution to this decision-theoretic planning problem that directly obtains the continuous value function with only the first and second moments of the transition probabilities, alleviating the requirement for an explicit transit...
更多
查看译文
关键词
Planning,Mathematical model,Finite element analysis,Approximation algorithms,Markov processes,Partial differential equations,Oceans
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要