Air Learning: A gym environment to train deep reinforcement algorithms for aerial robot navigation

Air Learning: A gym environment to train deep reinforcement algorithms for aerial robot navigation

Roboticists worldwide have been trying to develop autonomous unmanned aerial vehicles (UAVs) that could be deployed during search and rescue missions or that could be used to map geographical areas and for source-seeking. To operate autonomously, however, drones should be able to move safely and efficiently in their environment.
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