Implementation of reinforcement learning in chemical reaction networks: application to phototaxis as curiosity-driven exploration

Living systems navigate environments using noisy and incomplete sensory signals. In unicellular algae, phototaxis is often modeled as a mechanistic run–tumble process driven by stimulus–response rules. However, such descriptions overlook how organisms actively sample their environment to reduce se…

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