Search Results for author: Johannes Nauta

Found 2 papers, 0 papers with code

Learning Perception and Planning with Deep Active Inference

no code implementations30 Jan 2020 Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt

Active inference is a process theory of the brain that states that all living organisms infer actions in order to minimize their (expected) free energy.

Bayesian policy selection using active inference

no code implementations17 Apr 2019 Ozan Çatal, Johannes Nauta, Tim Verbelen, Pieter Simoens, Bart Dhoedt

Learning to take actions based on observations is a core requirement for artificial agents to be able to be successful and robust at their task.

Reinforcement Learning (RL)

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