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Deep reinforcement learning with significant multiplications inference

We propose a sparse computation method for optimizing the inference of neural networks in reinforcement learning (RL) tasks. Motivated by the processing abilities of the brain, this method combines simple neural network pruning with a delta-network algorithm to account for the input data correlation...

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Detalles Bibliográficos
Autores principales: Ivanov, Dmitry A., Larionov, Denis A., Kiselev, Mikhail V., Dylov, Dmitry V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682459/
https://www.ncbi.nlm.nih.gov/pubmed/38012259
http://dx.doi.org/10.1038/s41598-023-47245-y

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