2 papers
cs.NE2026
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…
physics.bio-ph2017
Disentangling and modeling interactions in fish with burst-and-coast swimming
Daniel S. Calovi, Alexandra Litchinko, Valentin Lecheval +5
We combine extensive data analyses with a modeling approach to measure, disentangle, and reconstruct the actual functional form of interactions involved in the coordination of swim…