Remy Chaput
Remy Chaput
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Ethics
Learning multi-value ethical behaviours by combining symbolic judging agents and learning agents
Journal paper published at the French
Artificial Intelligence Open Journal
(Revue Ouverte d’Intelligence Artificielle). This works extends previous works, especially the conference paper published at JFSMA 2021.
Rémy Chaput
,
Jérémy Duval
,
Olivier Boissier
,
Mathieu Guillermin
,
Salima Hassas
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Approche multi-agent combinant raisonnement et apprentissage pour un comportement éthique
Paper on the ability to use a symbolic reasoning approach to judge neural learning agents, in order to reward them appropriately with respect to their ’ethical’ behavior, combining both approaches in a Hybrid method.
Rémy Chaput
,
Jérémy Duval
,
Olivier Boissier
,
Mathieu Guillermin
,
Salima Hassas
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Slides
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A Multi-Agent Approach to Combine Reasoning and Learning for an Ethical Behavior
Paper presented at the
AI, Ethics, and Society
conference. It presents a novel, hybrid, method to learn “ethical behaviors” by combining symbolic judgments with a Reinforcement Learning algorithm.
Rémy Chaput
,
Jérémy Duval
,
Olivier Boissier
,
Mathieu Guillermin
,
Salima Hassas
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Poster
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ACM DL
Apprentissage adaptatif de comportements éthiques
Paper on adaptive learning of ethical behaviors I presented at JFSMA (French Days of Multi-Agent Systems).
Rémy Chaput
,
Olivier Boissier
,
Mathieu Guillermin
,
Salima Hassas
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Slides
HAL
Poster at GDR IA 2019
Poster about my Master thesis, at an AI Autumn school.
Rémy Chaput
Poster
Master Research Internship
Master’s thesis on
Evolutive learning of ethical behaviors
, realized at the LIRIS lab, under the supervision of Professor Salima Hassas (LIRIS) and Professor Olivier Boissier (LaHC).
Rémy Chaput
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