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Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning
Schilling, M.; Hammer, B.; Ohl, F.W.; Ritter, H.; Wiskott, L.
Research article (journal)
| Peer reviewed
Details about the publication
Journal:
Cognitive Computation
Volume:
in press
Status:
Published
Release year:
2023 (20/01/2023)
DOI:
10.1007/s12559-022-10080-w
Link to the full text:
https://doi.org/10.1007/s12559-022-10080-w
Keywords:
deep reinforcement learning; modularity; decentralization; motor control; neural networks; generalization
Authors from the University of Münster
Schilling
,
Malte
Professorship of Practical Comupter Science (Prof. Schilling)