Boids-PE: A Deep Reinforcement Learning Approach for UAV Pursuit-Evasion: Integrating Boids Model and Apollonian Circles

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python test_multiagent<7-test>.py --exp ./results/save-<env>-<num_drones>-<algo>-<obs>-<act>-<time_date>

Movement information of a drone in a one-on-one (one-dimensional) self-game framework for pursuit and evasion.

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Movement information of a drone in a one-on-one (three-dimensional) self-game framework for pursuit and evasion.

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To better demonstrate the actual effects of the drone pursuit-evasion task, the following video showcases a one-on-one drone pursuit-evasion experiment conducted in a three-dimensional space.

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See

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Or click this.

To better demonstrate the actual effects of the drone pursuit-evasion task, the following video showcases a multiple(many)-on-one drone pursuit-evasion experiment conducted in a three-dimensional space.

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See

[][4to13d-video]

Or click this.