[Comp-neuro] Closed-Loop Deep Learning with Robotics, NECO Vol 32, No 11

Sama Daryanavard (PGR) 2089166D at student.gla.ac.uk
Mon Nov 23 22:23:59 CET 2020

Dear Colleagues,

In our paper we present Closed-Loop Deep Learning which combines the power of deep learning and classical control to create an efficient analogue multi-layered fast learning paradigm, for robotic navigation. At the heart of this algorithm is an error signal that arises from a reflex which is delicately used to both drive the closed loop system and train the deep learner simultaneously. Through mathematical derivation in z-space we show how to implement back-propagation in a closed-loop system.



Neural Computation (final version):


Please do not hesitate to get in touch for a copy of the paper and to discuss your thoughts.

Warmest Regards,

Sama Daryanavard

Dr Bernd Porr

Biomedical Engineering Division, School of Engineering,

University of Glasgow, Glasgow G12 8QQ, U.K.

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