Stephen M. Lee-Urban, PhD

Research Scientist II

Email: urban dot first name at gmail
1475 Mecaslin St. Nw.
Atlanta, GA 30309


If what you're really after is my curriculum vitae, then please follow the link and enjoy! In May, 2012, I completed my Ph.D. in Computer Science at Lehigh University. I'm now at the Georgia Technology Research Institute, after having worked at GT as a research scientist / post-doc under Dr. Mark Riedl. My research interests are in the fields of plan generation and reuse, artificial intelligence in games, cognitive systems, case-based reasoning and narrative computing.

Recent Classes



  1. Boyang Li, Stephen Lee-Urban, and Mark O. Riedl. Crowdsourcing interactive fiction games. Proceedings of the 8th International Conference on the Foundations of Digital Games, Chania, Crete, Greece, 2013.
  2. Boyang Li, Stephen Lee-Urban, George Johnston, and Mark O. Riedl. Story Generation with Crowdsourced Plot Graphs. Proceedings of the 27th AAAI Conference on Artificial Intelligence, Bellevue, Washington, 2013.
  3. Boyang Li, Stephen Lee-Urban, D. Scott Appling, and Mark O. Riedl. Crowdsourcing Narrative Intelligence. Advances in Cognitive Systems, vol. 2, 2012.
  4. Boyang Li, Stephen Lee-Urban, and Mark O. Riedl. Toward Autonomous Crowd-Powered Creation of Interactive Narratives. Proceedings of the 5th AAAI Workshop on Intelligent Narrative Technologies, Palo Alto California, 2012.
  5. Boyang Li, D. Scott Appling, Stephen Lee-Urban, and Mark O. Riedl. Learning Sociocultural Knowledge via Crowdsourced Examples. Proceedings of the 4th AAAI Workshop on Human Computation, Toronto, Canada, 2012.
  6. Boyang Li, Stephen Lee-Urban, Darren Scott Appling, and Mark O. Riedl. (2012) Automatically Learning to Tell Stories about Social Situations from the Crowd. Proceedings of the LREC 2012 Workshop on Computational Models of Narrative, Istanbul, Turkey, 2012.
  7. Alexander Zook, Stephen Lee-Urban, Mark O. Riedl, Heather K. Holden, Robert A. Sottilare, and Keith W. Brawner. (2012) Automated Scenario Generation: Toward Tailored and Optimized Military Training in Virtual Environments. Proceedings of the 7th International Conference on the Foundations of Digital Games, Raleigh, North Carolina, 2012.
  8. Alexander Zook, Stephen Lee-Urban, Michael Drinkwater, and Mark O. Riedl. (2012) Skill-based Mission Generation: A Data-driven Temporal Player Modeling Approach. Proceedings of the 3rd Workshop on Procedural Content Generation in Games, Raleigh, North Carolina, 2012.
  9. Gillespie, K., Karneeb, J., Lee-Urban, S., and Munoz-Avila, H. (2010) Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse. To appear in Proceedings of the 18th International Conference on Case Based Reasoning (ICCBR 2010). AAAI Press.
  10. Lee-Urban, S., Munoz-Avila, H. (2009) Adaptation Versus Retrieval Trade-Off Revisited: an Analysis of Boundary Conditions. Proceedings of the 8th International Conference on Case-Based Reasoning (ICCBR-09).
  11. Auslander, B., Lee-Urban, S., Hogg, C., and Munoz-Avila, H. (2008) Recognizing The Enemy: Combining Reinforcement Learning with Strategy Selection using Case-Based Reasoning. Proceedings of the 9th European Conference on Case-Based Reasoning (ECCBR-08).
  12. Hogg, C., Lee-Urban, S., Auslander, B., and Munoz-Avila, H. (2008) Discovering Feature Weights for Feature-Based Indexing of Q-Tables. Proceedings of the Uncertainty and Knowledge Discovery in CBR Workshop at the 9th European Conference on Case-Based Reasoning (ECCBR-08).
  13. Lee-Urban, S., Smith, M. & Munoz-Avila, H. 2008. Learning Winning Policies in Team-Based First-Person Shooter Games. AI Game Programing Wisdom 4. Charles River Media.
  14. Vasta, M., Lee-Urban S. & Munoz-Avila, H. 2007. RETALIATE: Learning Winning Policies in First-Person Shooter Games. Proceedings of the Seventeenth Innovative Applications of Artificial Intelligence Conference (IAAI-07). AAAI Press.
  15. Warfield, I., Hogg, C., Lee-Urban, S., Munoz-Avila, H. 2007. Adaptation of Hierarchical Task Network Plans. Proceedings of the Twentieth Flairs International Conference (FLAIRS-07). AAAI Press.
  16. Sanchez-Ruiz, A., Lee-Urban, S., Munoz-Avila, H., Diaz-Agude, B., & Gonzalez-Calero, P. 2007. Game AI for a Turn-based Strategy Game with Plan Adaptation and Ontology-based retrieval. Proceedings of the workshop on Planning in Games at the International Conference on Automated Planning and Scheduling (ICAPS-07).
  17. Lee-Urban, S., Parker, A., Kuter, U., Munoz-Avila, H., & Nau, D. 2007. Transfer Learning of Hierarchical Task-Network Planning Methods in a Real-Time Strategy Game. Proceedings of the AI Planning and Learning Workshop (AIPL) at the International Conference on Automated Planning and Scheduling (ICAPS-07).
  18. Lee-Urban, S. Munoz-Avila, H. 2006. A study of Process Languages for Planning Tasks. Proceedings of the sixteenth International Conference on AI Planning and Scheduling (ICAPS-06) Doctoral Consortium.
  19. Hoang, H., Lee-Urban, S., and Munoz-Avila, H. 2005. Hierarchical Plan Representations for Encoding Strategic Game AI. Proceedings of Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE-05). AAAI Press.
  20. Ponsen, M., Lee-Urban, S., Munoz-Avila, H., Aha, D., and Molineaux, M. 2005. Stratagus: An Open-Source Game Engine for Research in Real-Time Strategy Games. Workshop for International Joint Conference on Artificial Intelligence (IJCAI-05).
  21. Lee-Urban, S. TMK Models to HTNs: Translating Process Models into Hierarchical Task Networks. Master's thesis, 2005.

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