Published July 21, 2022 | Version v1
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Supplementary material for the SoCS 2022 paper "Neural Network Heuristic Functions: Taking Confidence into Account"

  • 1. Saarland University
  • 2. University of Basel & Saarland University
  • 3. University of Tübingen

Description

This repositories contains the code for the SoCS 2022 paper "Neural Network Heuristic Functions: Taking Confidence into Account" by Daniel Heller, Patrick Ferber, Julian Bitterwolf, Matthias Hein, and Jörg Hoffmann.

Files

heller-et-al-zenodo2022.zip

Files (617.7 MB)

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Additional details

Funding

TAILOR – Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization 952215
European Commission
BDE – Beyond Distance Estimates: A New Theory of Heuristics for State-Space Search 817639
European Commission