Rough-Terrain Path Planning Based on Deep Reinforcement Learning
Road undulations have a significant impact on path lengths and energy consumption, so rough-terrain path planning for unmanned vehicles is of great research importance for performing more tasks with limited energy. This paper proposes a Deep Q-Network (DQN)-based path-planning method, which shapes t...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/11/6226 |
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