LSTM-TD3 and PPO

data for "UAV Path Planning Based on Proximal Policy Optimization Algorithm with Long Short-Term Memory Networks and Generalized Integral Compensator"

This study proposes a more competitive and sample-efficient algorithm: Memory-GIC-PPO, specifically to address POMDPs in UAV path planning. The effectiveness of the proposed algorithm is thoroughly evaluated through simulations conducted on the Airsim platform. The results convincingly demonstrate that Memory-GIC-PPO enables the UAV to achieve optimal path planning in complex environments and outperforms the benchmark algorithms in terms of sampling efficiency and success rates.

Categories:: Artificial Intelligence

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