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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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2024-02-01
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| Schriftenreihe: | Sensors |
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| Online-Zugang: | https://www.mdpi.com/1424-8220/24/5/1523 |
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