Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning

1 code implementation • 22 Jul 2023 • Aqeel Labash, Florian Fletzer, Daniel Majoral, Raul Vicente

From a dynamical systems view, we demonstrate that the adaptation proceeds by the emergence of a stable periodic orbit in the neuron dynamics with a phase response that allows an optimal phase synchronisation between the agent's dynamics and the environmental rhythm.

reinforcement-learning