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一种基于移动机器人改进软演员关键算法的路径规划方法

Tinglong Zhao1, Ming Wang1, Qianchuan Zhao2

  • 1School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.

Biomimetics (Basel, Switzerland)
|October 27, 2023
PubMed
概括

本研究介绍了一种增强的深度强化学习算法,用于移动机器人路径规划,改善未知的环境中的导航. 精细的算法,使用最大的和事后经验重复,克服了传统方法的局限性,以提高学习效率.

关键词:
经过事后观察,重播经验.移动机器人 移动机器人路径规划路径规划路径规划强化学习是一种强化学习.柔软的演员 - 批评家

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