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Document type:
Zeitschriftenaufsatz
Author(s):
Akl, Mahmoud; Ergene, Deniz; Walter, Florian; Knoll, Alois
Title:
Toward Robust and Scalable Deep Spiking Reinforcement Learning
Abstract:
Deep reinforcement learning (DRL) combines reinforcement learning algorithms with deep neural networks (DNNs). Spiking neural networks (SNNs) have been shown to be a biologically plausible and energy efficient alternative to DNNs. Since the introduction of surrogate gradient approaches that allowed to overcome the discontinuity in the spike function, SNNs can now be trained with the backpropagation through time (BPTT) algorithm. While largely explored on supervised learning problems, little work...     »
Journal title:
Frontiers in Neurorobotics
Year:
2023
Journal volume:
16
Print-ISSN:
1662-5218
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