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

JournalCognitive Computation
Volumein press
StatusPublished
Release year2023 (20/01/2023)
DOI10.1007/s12559-022-10080-w
Link to the full texthttps://doi.org/10.1007/s12559-022-10080-w
Keywordsdeep reinforcement learning; modularity; decentralization; motor control; neural networks; generalization

Authors from the University of Münster

Schilling, Malte
Professorship of Practical Comupter Science (Prof. Schilling)