Search Results for author: Pieter R. Roelfsema

Found 1 papers, 0 papers with code

DeepAGREL: Biologically plausible deep learning via direct reinforcement

no code implementations25 Sep 2019 Isabella Pozzi, Sander M. Bohte, Pieter R. Roelfsema

While much recent work has focused on biologically plausible variants of error-backpropagation, learning in the brain seems to mostly adhere to a reinforcement learning paradigm; biologically plausible neural reinforcement learning frameworks, however, were limited to shallow networks learning from compact and abstract sensory representations.

Image Classification reinforcement-learning +1

Cannot find the paper you are looking for? You can Submit a new open access paper.