A tabular Q-learning agent with clock-state memory learns surging, casting, and downwind return to recover odor plumes in turbulent flows from direct numerical simulations.
Mobile robot navigation using vi- 12 sion and olfaction to search for a gas/odor source.Au- tonomous Robots, 20(3):231–238, 2006
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Clock-state olfactory search in turbulent flows using Q-learning: The geometry of plume recovery
A tabular Q-learning agent with clock-state memory learns surging, casting, and downwind return to recover odor plumes in turbulent flows from direct numerical simulations.