FADQN: A Heuristic Reinforcement Learning Mechanism for UAV Path Planning in Unknown Environment
Path planning remains a focal point in Unmanned Aerial Vehicle (UAV) research, with autonomous path planning in unknown environments emerging as a particularly active area. Deep Reinforcement Learning (DRL) has become a standard approach for addressing path planning challenges in such environments....
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11088098/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!