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Results: 4
Number of items: 4
  • Open Access
    Michailidis, D. (2026). Transiting to fair cities: Reinforcement learning and multi-agent systems for equitable transport network design. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Michailidis, D., Tasnim, M., Ghebreab, S., & Santos, F. P. (2025). A summary of: Tackling School Segregation with Transportation Network Interventions: An Agent-Based Modelling Approach. In Y. Vorobeychik, S. Das, & A. Nowe (Eds.), AAMAS '25: Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems : May 19-23, 2025, Detroit, Michigan, USA (pp. 3074-3076). International Foundation for Autonomous Agents and Multiagent Systems. https://www.ifaamas.org/Proceedings/aamas2025/pdfs/p3074.pdf
  • Open Access
    Michailidis, D., Tasnim, M., Ghebreab, S., & Santos, F. P. (2024). Tackling school segregation with transportation network interventions: an agent-based modelling approach. Autonomous Agents and Multi-Agent Systems, 38(1), Article 22. https://doi.org/10.1007/s10458-024-09652-x
  • Open Access
    Michailidis, D., Khutsishvili, K., Konstantis, K., Tympas, A., Ibrahim, I. A., & Ghebreab, S. (2024). Enabling inclusive urban transport planning through civic artificial intelligence. In I. Keseru, S. Basu, M. Ryghaug, & T. M. Skjølsvold (Eds.), Strengthening European Mobility Policy: Governance Recommendations from Innovative Interdisciplinary Collaborations (pp. 115-127). Palgrave Macmillan. https://doi.org/10.1007/978-3-031-67936-0_9
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