3 citations · 7 across the 6 of their papers we have counts for
7 papers
Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning
Théophile Champion, Marek Grześ, Howard Bowman
Model-based reinforcement learning refers to a set of approaches capable of sample-efficient decision making, which create an explicit model of the environment. This model can subs…
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 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…