University of Basel, Research Group for Artificial Intelligence
Published July 23, 2022 | Version v1
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Code, data, and supplement for the IJCAI 2022 Paper "Learning and Exploiting Progress States in Greedy Best-First Search"

Creators

  • 1. University of Basel & Saarland University
  • 2. University of Basel
  • 3. Linköping University
  • 4. University of Basel & University of Zurich

Description

This directory contains the code, data sets, our produced data, and some additional results for the IJCAI 2022 paper "Learning and Exploiting Progress States in Greedy Best-First Search" by Patrick Ferber, Liat Cohen, Jendrik Seipp, and Thomas Keller.

Files

ferber-et-al-ijcai2022.zip

Files (3.5 GB)

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md5:7b993e4d866ae3d1d5a6678983a6db45
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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