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Supplementary Material for the ICAPS 2021 PRL Workshop Paper "Neural Network Heuristic Functions for Classical Planning: Reinforcement Learning and Comparison to Other Methods"

appsOther research productkeyboard_double_arrow_right Other ORP type 04 Aug 2021Publisher:Zenodo
Authors: Ferber, Patrick; Geißer, Florian; Trevizan, Felipe; Helmert, Malte; Hoffmann, Jörg;

doi: 10.5281/zenodo.5026899 , 10.5281/zenodo.5345958 , 10.5281/zenodo.5026898

Supplementary Material for the ICAPS 2021 PRL Workshop Paper "Neural Network Heuristic Functions for Classical Planning: Reinforcement Learning and Comparison to Other Methods"

Abstract

This repositories contains the code, benchmarks, and the experimental results for the ICAPS 2021 PRL Workshop 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.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator 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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