Code for the AB-HSVI algorithm and the experiments in the paper: "Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability" (NeurIPS 2025)
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Bovy, Eline M.; Probine, Caleb; Suilen, Marnix; Topcu, Ufuk; Jansen, Nils;
Code for the AB-HSVI algorithm and the experiments in the paper: "Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability" (NeurIPS 2025)
This repository contains code to run the experiments in the paper Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability. For future reference and potential updates to AB-HSVI, please refer to the GitHub repository used (https://github.com/ai-fm/Code-for-Multi-Environment-POMDPs-Discrete-Model-Uncertainty-Under-Partial-Observability).
- The University of Texas at Austin United States
- Radboud University Nijmegen Netherlands
- University of Antwerp Belgium
- Ruhr University Bochum Germany
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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