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Software . 2020
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Software . 2020
License: CC BY
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Software . 2020
License: CC BY
Data sources: Datacite
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Source code and benchmarks for the paper "Learning General Policies from Small Examples Without Supervision"

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 15 Dec 2020Publisher:Zenodo
Authors: Francès, Guillem; Bonet, Blai; Geffner, Hector;

doi: 10.5281/zenodo.4322798 , 10.5281/zenodo.4322797

Source code and benchmarks for the paper "Learning General Policies from Small Examples Without Supervision"

Abstract

This repository contains source code and benchmarks used in the publication Guillem Francès, Blai Bonet, and Hector Geffner "Learning General Policies from Small Examples Without Supervision." Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI). 2021. Instructions on how to use the software are provided in the "readme.md" file. The latest version of both code and benchmarks is mainteined in the following Github repository: https://github.com/rleap-project/d2l

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Keywords

generalized planning, artificial intelligence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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