Efficient Path Planning for Mobile Robot Based on Deep Deterministic Policy Gradient

Efficient Path Planning for Mobile Robot Based on Deep Deterministic Policy Gradient

When a traditional Deep Deterministic Policy Gradient (DDPG) algorithm is used in mobile robot path planning, due to the limited observable environment of mobile robots, the training efficiency of the path planning model is low, and the convergence speed is slow. In this paper, Long Short-Term Memor...

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Bibliographic Details
Main Authors: Hui Gong, Peng Wang, Cui Ni, Nuo Cheng
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
path planning
DDPG
LSTM
reward function
mixed noise
Online Access:https://www.mdpi.com/1424-8220/22/9/3579

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