Author

Yasir Waseem

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Open access 2026

Transformer-Based Double Deep Q-Network for AAV Coverage Path Planning and Data Harvesting

A Transformer-enhanced Double Deep Q-Network (TDDQN) framework that effectively integrates a Standard Transformer Encoder with a hierarchical global-local map representation for large-scale urban AAV navigation to enable scalable operation and temporal reasoning in complex urban landscapes is proposed.

Praveen Kumar, Yasir Waseem, Priyadarshni et al. · IEEE Access · 0 citations