3 citations · 7 across the 6 of their papers we have counts for
4 papers · 1 filter
Reframing the Expected Free Energy: Four Formulations and a Unification
Théophile Champion, Howard Bowman, Dimitrije Marković +1
Active inference is a leading theory of perception, learning and decision making, which can be applied to neuroscience, robotics, psychology, and machine learning. Active inference…
Deconstructing deep active inference
Théophile Champion, Marek Grześ, Lisa Bonheme +1
Active inference is a theory of perception, learning and decision making, which can be applied to neuroscience, robotics, and machine learning. Recently, reasearch has been taking…
Multi-Modal and Multi-Factor Branching Time Active Inference
Théophile Champion, Marek Grześ, Howard Bowman
Active inference is a state-of-the-art framework for modelling the brain that explains a wide range of mechanisms such as habit formation, dopaminergic discharge and curiosity. Rec…
Branching Time Active Inference: empirical study and complexity class analysis
Théophile Champion, Howard Bowman, Marek Grześ
Active inference is a state-of-the-art framework for modelling the brain that explains a wide range of mechanisms such as habit formation, dopaminergic discharge and curiosity. How…