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Software . 2023
License: https://opensource.org/licenses/MIT
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Software . 2023
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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AJAR: An Argumentation-based Judging Agents Framework for Ethical Reinforcement Learning

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 01 Mar 2023 English Publisher:Zenodo
Authors: Alcaraz, Benoît; Boissier, Olivier; Chaput, Rémy; Leturc, Christopher;

doi: 10.5281/zenodo.7628902 , 10.5281/zenodo.7628903

AJAR: An Argumentation-based Judging Agents Framework for Ethical Reinforcement Learning

Abstract

The data included in this simulator is a property of and licensed by OpenEI (https://doi.org/10.25984/1788456, CC-BY-4.0). This work is partially funded by the French Région Auvergne Rhônes-Alpes (AURA), as part of the Ethics.AI project (Pack Ambition Recherche), and by the Luxembourg National Research Fund under Grant No. IS/14717072. We gratefully acknowledge support from the CNRS/IN2P3 Computing Center (Lyon — France) for providing computing and data-processing resources.

An open-source implementation of AJAR (Argumentation-based Judging Agents Framework for ethical Reinforcement learning), on a multi-agent Smart Grid simulator of energy distribution.

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Keywords

Ethical judgment, Argumentation, Hybrid neural-symbolic learning, Machine ethics, Multi-agent reinforcement learning, Artificial moral agent

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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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impulse
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