Emergence of chemotactic strategies with multi-agent reinforcement learning

Reinforcement learning (RL) is a flexible and efficient method for programming micro-robots in complex environments. Here we investigate whether RL can provide insights into biological systems when trained to perform chemotaxis. Namely, whether we can learn about how intelligent agents process given...

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Bibliographic Details

Published in:	Machine Learning: Science and Technology
Main Authors:	Samuel Tovey, Christoph Lohrmann, Christian Holm
Format:	Article
Language:	English
Published:	IOP Publishing 2024-01-01
Subjects:	reinforcement learning microrobotics chemotaxis active matter biophysics
Online Access:	https://doi.org/10.1088/2632-2153/ad5f73