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IEEE/ICACT20230128 Question.1 Questioner: haodp@dau.edu.vn 2023-02-27 오전 7:25:01	IEEE/ICACT20230128 Answer.1 Answer by Auhor p2109422@mpu.edu.mo 2023-02-27 오전 7:25:01
How can heuristic algorithms and reinforcement learning be integrated to create effective path planning strategies for cellular connected UAVs, and what are the most important design considerations for these systems?	This is indeed a good question. In our experiments, the A* algorithm was used to search for a path from point-to-point to generate the distance matrix, while the reinforcement learning was responsible for generating training and testing data. As a result, we consider the RL method to be more important because the A* algorithm can be replaced. In future research, we will also try to combine reinforcement learning and heuristic algorithms from other perspectives to achieve even better results.

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