University of Basel, Research Group for Artificial Intelligence
Published June 21, 2022 | Version v1
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Supplementary Material for the ICAPS 2022 paper "Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods"

Creators

  • 1. University of Basel & Saarland University
  • 2. Australian National University
  • 3. University of Basel
  • 4. Saarland University

Description

This repositories contains the code, benchmarks, and the experimental results for the ICAPS 2022 paper "Neural Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods" by Patrick Ferber, Florian Geißer, Felipe Trevizan, Malte Helmert, and Jörg Hoffmann.

Files

ferber-et-al-icaps2022-supplement.zip

Files (108.8 MB)

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Additional details

Funding

Swiss National Science Foundation
Certified Correctness and Guaranteed Performance for Domain-Independent Planning (CCGP-Plan) 200021_182107