Patrick Ferber
Florian Geißer
Felipe Trevizan
Malte Helmert
Jörg Hoffmann
2021-08-04
<p>This repositories contains the code, benchmarks, and the experimental results for the <a href="https://prl-theworkshop.github.io/">ICAPS 2021 PRL Workshop</a> paper "Neural Network Heuristic Functions for Classical Planning: Reinforcement Learning and Comparison to Other Methods" by Patrick Ferber, Florian Geißer, Felipe Trevizan, Malte Helmert, and Jörg Hoffmann.</p>
https://doi.org/10.5281/zenodo.5345958
oai:zenodo.org:5345958
Zenodo
https://zenodo.org/communities/ai-basel
https://doi.org/10.5281/zenodo.5026898
info:eu-repo/semantics/openAccess
GNU Affero General Public License v3.0 or later
https://www.gnu.org/licenses/agpl.txt
PRL, ICAPS 2021 Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning, Virtually, 4-6 August 2021
Supplementary Material for the ICAPS 2021 PRL Workshop Paper "Neural Network Heuristic Functions for Classical Planning: Reinforcement Learning and Comparison to Other Methods"
info:eu-repo/semantics/other