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Accueil > Actualités > Séminaires > Séminaires 2024

Mardi 6 Fevrier 11h00 - LEGI Salle K118

Aurore Loisy, IRPHE

Deep reinforcement learning to uncover autonomous navigation strategies in turbulent flows

Navigation is about optimising a route to go from A to B. Animal and robotic navigation however fundamentally differ from the routing of planes or ships, because it is autonomous : the self-propelled "agent" has only access to information from its own sensors to make decisions. This type of problem is well-suited for reinforcement learning, a branch of artificial intelligence that has gained popularity by beating human players at games. In this talk I will show how we can leverage modern (deep) reinforcement learning techniques to solve two navigation problems inspired by the animal world : the vertical migration of plankton through the water column and the search for an odor source by insects.

Contact Nathanaël Machicoane for more information or to schedule a discussion with the seminar speaker.