Figure 10 displays the teaching curve on the proposed DQN-based UAV detouring algorithm when you can find 30 sensors and six obstacles. We can see which the rewards steadily greater from the beginning as the volume of training episodes enhanced. The overall reward grows noticeably once the 4000th episode within the 7000 in overall. This transpires because the agent takes advantage of likelihood to randomly investigate new positions in the beginning, which might not deliver the most effective outcomes.
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Return a whole detour TSP tour from the ideal-located result and determine the whole Electrical power use E u a v
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