Author

M. Haddad

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Open access Aug 2026

MEMORY-AUGMENTED REINFORCEMENT LEARNING FOR UAV NAVIGATION USING PPO-LSTM

Experimental outcomes show that the PPO-LSTM described herein achieves smoother paths, more robust reward convergence, and a much lower rate of collision than regular PPO, and generalizes to new environments with movable obstacles.

M. Haddad, Dhayaa Khudher · Kufa journal of Engineering · 0 citations