3 citations · 7 across the 6 of their papers we have counts for
3 papers · 1 filter
Branching Time Active Inference with Bayesian Filtering
Théophile Champion, Marek Grześ, Howard Bowman
Branching Time Active Inference (Champion et al., 2021b,a) is a framework proposing to look at planning as a form of Bayesian model expansion. Its root can be found in Active Infer…
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…
Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker
Théophile Champion, Marek Grześ, Howard Bowman
Active inference is a state-of-the-art framework in neuroscience that offers a unified theory of brain function. It is also proposed as a framework for planning in AI. Unfortunatel…