5 papers
From Optimal Policies to Individual Differences: Rethinking Reinforcement Learning for Biology
Patrick Govoni, Palina Bartashevich, Clémence Bergerot +3
Reinforcement learning (RL) is primarily known as a computational method for optimizing control tasks, but it is increasingly used to explain biological behavior. While RL successf…
Social-spatial dependencies for learning visual navigation
Patrick Govoni, Pawel Romanczuk
Navigation for social organisms rarely is a fully independent activity. Group structure and dynamics, as well as embodied interactions, critically influence useful behavior. Indivi…
Visuospatial navigation from the bottom-up: without vestibular integration, distance prediction, or maps
Patrick Govoni, Pawel Romanczuk
Navigation is believed to be controlled by at least two partially dissociable systems in the brain. The cognitive map informs an organism of its location and bearing, updated by in…
Messengers: Breaking Echo Chambers in Collective Opinion Dynamics with Homophily
Mohsen Raoufi, Heiko Hamann, Pawel Romanczuk
Collective estimation is a variant of collective decision-making where agents reach consensus on a continuous quantity through social interactions. Achieving precise consensus is c…
LARS: Light Augmented Reality System for Swarm
Mohsen Raoufi, Pawel Romanczuk, Heiko Hamann
We present the Light Augmented Reality System LARS as an open-source and cost-effective tool. LARS leverages light-projected visual scenes for indirect robot-robot and human-robot…