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physics.bio-ph2026
Clock-state olfactory search in turbulent flows using Q-learning: The geometry of plume recovery
Marco Rando, Robin A. Heinonen, Yujia Qi +1
Finding an odor source in a turbulent flow requires effectively leveraging the history of olfactory observations into a robust navigation strategy. In this work, we use tabular Q-l…
physics.bio-ph2024
Q-learning with temporal memory to navigate turbulence
Marco Rando, Martin James, Alessandro Verri +2
We consider the problem of olfactory searches in a turbulent environment. We focus on agents that respond solely to odor stimuli, with no access to spatial perception nor prior inf…