Ying Chen1,2, Zhe-Ming Lu1,2, Jia-Lin Cui1,3

  • 1Center for Generic Aerospace Technology, Huanjiang Laboratory, Zhuji 311816, China.

PubMed
概括

Re-DQN是一种新的深度强化学习算法,增强了割草机器人路径规划,以实现高效的区域覆盖. 这种先进的方法提高了机器人的适应性,并减少了复杂环境中的规划时间.

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