Enhancing Stability and Performance in Mobile Robot Path Planning with PMR-Dueling DQN Algorithm

Enhancing Stability and Performance in Mobile Robot Path Planning with PMR-Dueling DQN Algorithm

Path planning for mobile robots in complex circumstances is still a challenging issue. This work introduces an improved deep reinforcement learning strategy for robot navigation that combines dueling architecture, Prioritized Experience Replay, and shaped Rewards. In a grid world and two Gazebo simu...

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Bibliographic Details
Main Authors: Demelash Abiye Deguale, Lingli Yu, Melikamu Liyih Sinishaw, Keyi Li
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
path planning
dueling network
mobile robot
prioritized experience replay
reinforcement learning
Online Access:https://www.mdpi.com/1424-8220/24/5/1523

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