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Sven Koenig

Sven Koenig Befattning: Gästprofessor Organisation: Institutionen för naturvetenskap och teknik

E-post: c3Zlbi5rb2VuaWc7b3J1LnNl

Telefon: Telefonnummer saknas

Rum: T1211

Forskningsämne Forskningsmiljöer

Publikationer

Artiklar i tidskrifter |  Konferensbidrag | 

Artiklar i tidskrifter

Konferensbidrag

  • Skyler, S. , Atzmon, D. , Felner, A. , Salzman, O. , Ulloa, C. H. & Koenig, S. (2026). Deeper Treatment of the Bi-objective Search Framework. I: Sven Koenig; Chad Jenkins; Matthew E. Taylor,  Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence Vol. 40 No. 43: AAAI-26 Technical Tracks 43. Konferensbidrag vid 40th AAAI Conference on Artificial Intelligence (AAAI-26), 2026, Singapore, January 20-27, 2026. (ss. 37170-37177). AAAI Press. [BibTeX]
  • Liang, J. , Koenig, S. & Fioretto, F. (2026). Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning. I: Sven Koenig; Chad Jenkins; Matthew E. Taylor,  Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence Vol. 40 No. 28: AAAI-26 Technical Tracks 28. Konferensbidrag vid 40th AAAI Conference on Artificial Intelligence (AAAI-26), 2026, Singapore, January 20-27, 2026. (ss. 23417-23424). AAAI Press. [BibTeX]
  • Altmann, P. , Phan, T. , Zorn, M. , Linnhoff-Popien, C. & Koenig, S. (2026). Dynamic Incentivized Cooperation under Changing Rewards. I:  AAMAS '26 Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems. Konferensbidrag vid 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026), University of Cyprus, Paphos, Cyprus, May 25-29, 2026. (ss. 3338-3340). Association for Computing Machinery (ACM). [BibTeX]
  • Phan, T. & Koenig, S. (2026). Spatially Grouped Curriculum Learning for Multi-Agent Path Finding. I: Sven Koenig; Chad Jenkins; Matthew E. Taylor,  Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence Vol. 40 No. 35: AAAI-26 Technical Tracks 35. Konferensbidrag vid 40th AAAI Conference on Artificial Intelligence (AAAI-26), 2026, Singapore, January 20-27, 2026. (ss. 29642-29650). AAAI Press. [BibTeX]
  • Phan, T. , Chan, S. & Koenig, S. (2026). Truncated Counterfactual Learning for Anytime Multi-Agent Path Finding. I: Sven Koenig; Chad Jenkins; Matthew E. Taylor,  Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence Vol. 40 No. 35: AAAI-26 Technical Tracks 35. Konferensbidrag vid 40th AAAI Conference on Artificial Intelligence (AAAI-26), 2026, Singapore, January 20-27, 2026. (ss. 29633-29641). AAAI Press. [BibTeX]