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Using incomplete and incorrect plans to shape reinforcement learning in long-sequence sparse-reward tasks

Published Online: 2025-01-10

Published Print: 2025-08

Authors

Müller, Henrik https://orcid.org/0000-0002-5719-4278
Berg, Lukas

Kudenko, Daniel
Funding

Funding for this research was provided by:

Bundesministerium für Verkehr und Digitale Infrastruktur (45FGU121_E)

Bundesministerium für Bildung und Forschung (01DD20003)

Gottfried Wilhelm Leibniz Universität Hannover
License Information

Text and Data Mining valid from 2025-01-10

Version of Record valid from 2025-01-10
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Article History

Received: 4 November 2023

Accepted: 4 October 2024

First Online: 10 January 2025

Declarations

:

: The authors declare that they have no conflict of interest.

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