Code accompanying the paper "Universal Value-Function Uncertainties"
DOI:10.4121/2393f9ad-939d-4338-a44f-7d8f9251f244.v1
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DOI: 10.4121/2393f9ad-939d-4338-a44f-7d8f9251f244
DOI: 10.4121/2393f9ad-939d-4338-a44f-7d8f9251f244
Datacite citation style
Zanger, Moritz A.; Weltevrede, Max; Oren, Yaniv; van der Vaart, Pascal; Horsch, Caroline et. al. (2025): Code accompanying the paper "Universal Value-Function Uncertainties". Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/2393f9ad-939d-4338-a44f-7d8f9251f244.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
This is the official code repository accompanying the paper "Universal Value-Function Uncertainties ".
History
- 2025-08-18 first online, published, posted
Publisher
4TU.ResearchDataFormat
.py; .pklAssociated peer-reviewed publication
Universal Value-Function UncertaintiesReferences
Funding
- Epistemic AI (grant code 964505) [more info...] EXCELLENT SCIENCE - Future and Emerging Technologies (FET) (EU Horizons 2020)
Organizations
Delft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer Science,Department of Intelligent Systems, Sequential Decision Making Group
DATA - under embargo
The files in this dataset are under embargo until 2027-08-14.
Reason
This dataset contains source code developed to reproduce experiments for an ongoing research project that has not yet been formally published. While a preprint version of the associated manuscript is publicly available, the code itself remains confidential to protect the integrity of the research and the publication process. Direct access to the code will be granted only in exceptional circumstances and will remain restricted until the official publication of the associated work.