Stephen M. Lee-Urban PhD Candidate/Research Assistant Email: sml3(at)lehigh.edu Postal: Lehigh University CSE Department 19 Memorial Drive West Bethlehem, PA 18015 Office: Packard Lab 250 (InSyTe Lab) Office Phone: (610) 758-4144

Biography

If what you're really after is my resume, then please follow the link and enjoy! In May, 2005, I completed my masters degree in computer science at Lehigh University. I'm still here, and am now pursuing a Ph.D. in Artificial Intelligence, with research interests in the fields of plan generation, artificial intelligence in games, machine learning, case-based reasoning and software agents.

Research

• 2007-present: Working on thesis, which explores how computer generated plans can be quickly and correctly adapted to solve new problems by using a heretofore unused kind of descriptive knowledge.
• 2006-2007: DARPA sponsored Transfer Learning project. Enabled and tested machine learning algorithms in the most complex class of software simulations, real-time strategy games.
• 2004-2005: Navy Research Labs (NRL) funded "Testbed for Investigating and Evaluating Learning Techniques" project. Constructed a planning-language translator between a class of declarative-syntax based representations and a class of imperative-syntax based representations. Such a translator proved that one is as semantically expressive as the other, a point at the time unresolved in field literature.Feel free to check out the main website for the TIELT project, and the page for TIELT projects at Lehigh.

Publications

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.

Vasta, M., Lee-Urban S. & Muņoz-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.

Warfield, I., Hogg, C., Lee-Urban, S., Muņoz-Avila, H. 2007. Adaptation of Hierarchical Task Network Plans. Proceedings of the Twentieth Flairs International Conference (FLAIRS-07). AAAI Press.

Sanchez-Ruiz, A., Lee-Urban, S., Muņoz-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).

Lee-Urban, S., Parker, A., Kuter, U., Muņoz-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).

Lee-Urban, S. Muņoz-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.

Hoang, H., Lee-Urban, S., and Muņoz-Avila, H. 2005. Hierarchical Plan Representations for Encoding Strategic Game AI. Proceedings of Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE-05). AAAI Press.

Ponsen, M., Lee-Urban, S., Muņoz-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).

Lee-Urban, S. TMK Models to HTNs: Translating Process Models into Hierarchical Task Networks. Master's thesis, 2005.

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