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.
1 code implementation • 15 May 2018 • Tambet Matiisen, Aqeel Labash, Daniel Majoral, Jaan Aru, Raul Vicente
In this work we test whether deep reinforcement learning agents explicitly represent other agents' intentions (their specific aims or goals) during a task in which the agents had to coordinate the covering of different spots in a 2D environment.