Mapping the unknown: model-based and model-free approaches towards spatial 
reinforcement learning

Wu, CM; Schulz, E; Speekenbrink, M; Nelson, JD; Meder, B

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Mapping the unknown: model-based and model-free approaches towards spatial reinforcement learning

Wu, C., Schulz, E., Speekenbrink, M., Nelson, J., & Meder, B. (2017). Mapping the unknown: model-based and model-free approaches towards spatial reinforcement learning. In T. Goschke, A. Bolte, & C. Kirschbaum (Eds.), TeaP 2017: Abstracts of the 59th Conference of Experimental Psychologists. Lengerich, Germany: Pabst.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-6630-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-F9F1-E

Genre: Meeting Abstract

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Creators:
Wu, CM, Author
Schulz, E¹, Author
Speekenbrink, M, Author
Nelson, JD, Author
Meder, B, Author

Affiliations:
1External Organizations, ou_persistent22

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Dates: Date issued: 2017-03

Publication Status: Issued

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Title: 59th Conference of Experimental Psychologists (TeaP 2017)

Place of Event: Dresden, Germany

Start-/End Date: 2017-03-26 - 2017-03-29

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Title: TeaP 2017: Abstracts of the 59th Conference of Experimental Psychologists

Source Genre: Proceedings

Creator(s):
Goschke, T, Editor
Bolte, A, Editor
Kirschbaum, C, Editor

Affiliations:
-

Publ. Info: Lengerich, Germany : Pabst

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISBN: 978-3-95853-294-6