Trajectory trackingFeedforwardDeep reinforcement learningThe adoption of advanced control strategies has become increasingly critical for the quadrotor unmanned aerial vehicle (QUAV). Deep reinforcement learning (DRL) stands at the forefront of these developments, showcasing significant utility, particularly ...
Subsequently, the performance of the proposed method in the fixed-point tracking task and the trajectory tracking task will be evaluated. Finally, a robustness analysis will be carried out to further evaluate the capabilities of the proposed method. Conclusion This paper introduces a novel QUAV ...
To address these challenges, this paper proposes a novel Dynamic Fuzzy Routing algorithm based on Deep Reinforcement Learning (DFRDRL) for SDN. Our algorithm integrates the adaptability of fuzzy logic with the learning capabilities of DRL to provide intelligent and efficient routing solutions. DFRDRL ...
Research on Autonomous Obstacle Avoidance and Target Tracking of UAV Based on Improved Dueling DQN Algorithm. In Proceedings of the 2021 China Automation Congress (CAC), Beijing, China, 22–24 October 2021; pp. 5110–5115. [Google Scholar] Boulares, M.; Fehri, A.; Jemni, M. UAV Path ...
Research on Autonomous Obstacle Avoidance and Target Tracking of UAV Based on Improved Dueling DQN Algorithm. In Proceedings of the 2021 China Automation Congress (CAC), Beijing, China, 22–24 October 2021; pp. 5110–5115. [Google Scholar] Boulares, M.; Fehri, A.; Jemni, M. UAV Path ...
Research on Autonomous Obstacle Avoidance and Target Tracking of UAV Based on Improved Dueling DQN Algorithm. In Proceedings of the 2021 China Automation Congress (CAC), Beijing, China, 22–24 October 2021; pp. 5110–5115. [Google Scholar] Boulares, M.; Fehri, A.; Jemni, M. UAV Path ...