Browsing by author "Wauthier, Samuel"
Now showing items 1-6 of 6
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A learning gap between neuroscience and reinforcement learning
Wauthier, Samuel; Mazzaglia, Pietro; Catal, Ozan; De Boom, Cedric; Verbelen, Tim; Dhoedt, Bart (2021) -
Deep active inference for autonomous robot navigation
Catal, Ozan; Wauthier, Samuel; Verbelen, Tim; De Boom, Cedric; Dhoedt, Bart (2020) -
Dynamic Narrowing of VAE Bottlenecks Using GECO and L-0 Regularization
De Boom, Cedric; Wauthier, Samuel; Verbelen, Tim; Dhoedt, Bart (2021) -
Learning generative state space models for active inference
Catal, Ozan; Wauthier, Samuel; De Boom, Cedric; Verbelen, Tim; Dhoedt, Bart (2020-11) -
Sleep: Model reduction in deep active inference
Wauthier, Samuel; Catal, Ozan; De Boom, Cedric; Verbelen, Tim; Dhoedt, Bart (2020) -
Tensor networks for active inference with discrete observation spaces
Wauthier, Samuel; Vanhecke, Bram; Verbelen, Tim; Dhoedt, Bart (2022)