Universität Innsbruck
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CC BY 3.0
Learning how to find targets in the micro-world: The case of intermittent active Brownian particles
Finding the best strategy to minimize the time needed to find a given target is a crucial task both in nature and in reaching decisive technological advances. By considering learning agents able to switch their dynamics between standard and active Brownian motion, here we focus on developin
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