Potential-based reward shaping using state-space segmentation for efficiency in reinforcement learning

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Potential-based reward shaping using state-space segmentation for efficiency in reinforcement learning

Author: Bal, Melis Ilayda; Aydin, Hueseyin; Iyiguen, Cem; Polat, Faruk
Tübinger Autor(en):
Bal, Melis İlayda
Published in: Future Generation Computer Systems - The International Journal of Escience (2024), Bd. 157, S. 469-484
Verlagsangabe: Amsterdam : Elsevier
Language: English
Full text: http://dx.doi.org/10.1016/j.future.2024.03.057
ISSN: 0167-739X
DDC Classifikation: 004 - Data processing and computer science
Dokumentart: Article
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