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cs.LG2024
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…
cs.AI2024★ 1 cited
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…