Multi-objective reinforcement learning: an ethical perspective - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Multi-objective reinforcement learning: an ethical perspective

Résumé

Reinforcement learning (RL) is becoming more prevalent in practical domains with human implications, raising ethical questions. Specifically, multi-objective RL has been argued to be an ideal framework for modeling real-world problems and developing human-aligned artificial intelligence. However, the ethical dimension remains underexplored in the field and no survey covers this aspect. Hence, we propose a review of multi-objective RL from an ethical perspective, highlighting existing works, gaps in the literature, important considerations, and potential areas for future research.
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Dates et versions

hal-04711682 , version 1 (27-09-2024)

Identifiants

  • HAL Id : hal-04711682 , version 1

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Timon Deschamps, Rémy Chaput, Laëtitia Matignon. Multi-objective reinforcement learning: an ethical perspective. Multi-Objective Decision Making Workshop, ECAI, Oct 2024, Santiago de Compostela, Spain. ⟨hal-04711682⟩
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