no code implementations • 6 Mar 2024 • Ajith Anil Meera, Pablo Lanillos
To evaluate our theoretical account, we framed the decision-making within the tool selection problem, where the agent has to select the best robot arm for a particular control task.
no code implementations • 15 Aug 2023 • Ajith Anil Meera, Pablo Lanillos
The accurate estimation of the noise covariance matrix (NCM) in a dynamic system is critical for state estimation and control, as it has a major influence in their optimality.
no code implementations • 4 Apr 2022 • Ajith Anil Meera, Martijn Wisse
The free energy principle (FEP) from neuroscience provides a framework called active inference for the joint estimation and control of state space systems, subjected to colored noise.
no code implementations • 3 Dec 2021 • Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani
Active inference is a mathematical framework which originated in computational neuroscience as a theory of how the brain implements action, perception and learning.