Adaptive Improved Q-Learning Path Planning Algorithm Based on Obstacle Learning Matrix and Artificial Potential Field
To address the issues of exploration imbalance and slow convergence speed in the Q-learning path planning algorithm, an adaptive improved Q-learning path planning algorithm based on an obstacle learning matrix and artificial potential field (APF) is proposed. First, an obstacle learning matrix is es...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/jece/3110053 |
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