For path planning in the unknown environment, it is useful that the robot can modify its algorithm to optimize the path, so that it can be adaptive to different kinds of environments.
对于未知环境下的路径规划，要求机器人有适应不同环境的能力，能针对不同环境自动调整规划算法以优化路径。
To solve the robots path planning problem in dynamic environment, this paper applies adaptive learning to path planning based on reinforcement learning.
本文结合机器人路径规划问题介绍了增强式学习方法，实现了动态环境中基于增强式学习的自适应路径规划。
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