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Emery Neufeld

Projektass. Dr.techn. / PhD

Emery Neufeld

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  • Combining MORL with Restraining Bolts to Learn Normative Behaviour / Neufeld, E., Ciabattoni, A., & Tulcan, R. F. (2025). Combining MORL with Restraining Bolts to Learn Normative Behaviour. In J. Kwok (Ed.), Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (pp. 4615–4623). ACM. https://doi.org/10.24963/ijcai.2025/514
  • Tackling Temporal Deontic Challenges with Equilibrium Logic / Soldà, D., Cabalar, P., Ciabattoni, A., & Neufeld, E. (2025). Tackling Temporal Deontic Challenges with Equilibrium Logic. In AAMAS ’25 : Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems (pp. 1950–1958). International Foundation for Autonomous Agents and Multiagent Systems. http://hdl.handle.net/20.500.12708/221732
  • Norm Avoidance and Reinforcement Learning: Definitions and Analys / Alcaraz, B., Neufeld, E., Najjar, A., & van der Torre, L. (2025). Norm Avoidance and Reinforcement Learning: Definitions and Analys. In K. van Berkel, A. Ciabattoni, & J. Horty (Eds.), Deontic Logic and Normative Systems : 17th International Conference, DEON 2025 (pp. 1–9). College Publications.
  • Learning Normative Behaviour Through Automated Theorem Proving / Neufeld, E. (2024). Learning Normative Behaviour Through Automated Theorem Proving. Kuenstliche Intelligenz, 38(1–2), 25–43. https://doi.org/10.1007/s13218-024-00844-x
    Project: Mosaic (2021–2026)
  • Norm Compliance in Reinforcement Learning Agents via Restraining Bolts / Neufeld, E., Ciabattoni, A., & Tulcan, R. F. (2024). Norm Compliance in Reinforcement Learning Agents via Restraining Bolts. In J. Savelka, J. Harasta, T. Novotna, & J. Misek (Eds.), Legal Knowledge and Information Systems (pp. 119–130). https://doi.org/10.3233/FAIA241239
    Download: Artikel (304 KB)
    Project: Mosaic (2021–2026)
  • Norm compliance for reinforcement learning agents / Neufeld, E. A. (2023). Norm compliance for reinforcement learning agents [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.112881
    Download: PDF (2.42 MB)
  • On Normative Reinforcement Learning via Safe Reinforcement Learning / Neufeld, E. A., Bartocci, E., & Ciabattoni, A. (2022). On Normative Reinforcement Learning via Safe Reinforcement Learning. In PRIMA 2022: Principles and Practice of Multi-Agent Systems - Proceedings (pp. 72–89). https://doi.org/10.1007/978-3-031-21203-1_5
    Project: RTD-Indian (2017–2022)
  • Enforcing ethical goals over reinforcement-learning policies / Neufeld, E. A., Bartocci, E., Ciabattoni, A., & Governatori, G. (2022). Enforcing ethical goals over reinforcement-learning policies. Ethics and Information Technology, 24(4), Article 43. https://doi.org/10.1007/s10676-022-09665-8
    Download: PDF (1.62 MB)
    Project: RTD-Indian (2017–2022)
  • Reinforcement Learning Guided by Provable Normative Compliance / Neufeld, E. (2022). Reinforcement Learning Guided by Provable Normative Compliance. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence. 14th International Conference on Agents and Artificial Intelligence (ICAART 2022), Unknown. INSTICC Press. https://doi.org/10.5220/0010835600003116
  • A Normative Supervisor for Reinforcement Learning Agents / Neufeld, E., Bartocci, E., Ciabattoni, A., & Governatori, G. (2021). A Normative Supervisor for Reinforcement Learning Agents. In Automated Deduction – CADE 28 (pp. 565–576). https://doi.org/10.1007/978-3-030-79876-5_32