Using AI to Proactively Conserve Biodiversity (Chair of Aircraft Dynamics and Flight Guidance)

Applying techniques designed for noncooperative stochastic games to determine strategies to be adopted by the autonomous agents Consideration of system dynamics Coping with multiple optimization criteria Using Reinforcement Learning (RL) for a more flexible deployment Illustration of the applicability and usability with use cases of Green Security Games (GSG), which are framework for fighting illegal poaching in conservation areas

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The Institute of Flight Systems (LRT13) is looking for student and scientific assistants, bachelor / study and master workers, as well as doctoral students in the fields of natural sciences, engineering and human sciences with an interest in topics of aviation and human-machine interaction.