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PhD Thesis

Rémy Chaput
October, 2022 · Thesis
Type: Thesis
Publication: Université Claude Bernard Lyon 1
Machine Ethics Artificial Moral Agents Multi-Agent Systems Multi-Agent Reinforcement Learning Multi-Objective Reinforcement Learning Ethical Judgment Hybrid Neural-Symbolic Learning Moral Dilemmas Human Preferences

Learning behaviours aligned with moral values in a multi-agent system: guiding reinforcement learning with symbolic judgments


This is the manuscript and slides of my PhD Thesis in Computer Science, realized at the LIRIS lab, under the supervision of Professor Salima Hassas, Professor Olivier Boissier, and Dr. Mathieu Guillermin.

The thesis was defended at Université Claude Bernard Lyon 1 on 2022-10-27 before the following jury:

  • Pr. Parisa Ghodous – Université Claude Bernard Lyon 1 – President
  • Dr. Grégory Bonnet – Université de Caen Normandie – Reviewer
  • Pr. Marija Slavkovik – University of Bergen – Reviewer
  • Dr. Alain Dutech – INRIA Nancy – Examiner
  • Pr. Juan A. Rodríguez-Aguilar – Autonomous University of Barcelona – Examiner
  • Pr. Salima Hassas – Université Claude Bernard Lyon 1 – Supervisor
  • Pr. Olivier Boissier – École des Mines de Saint-Étienne – Co-supervisor
  • Dr. Mathieu Guillermin – Université Catholique de Lyon – Co-supervisor