Me.

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 202 (InSyTe Lab)
Office Phone: (610) 758-4144

HTNPopper

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

  1. 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.
  2. 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).
  3. 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).
  4. 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).
  5. 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.
  6. 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.
  7. 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.
  8. 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).
  9. 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).
  10. 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.
  11. 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.
  12. 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).
  13. Lee-Urban, S. TMK Models to HTNs: Translating Process Models into Hierarchical Task Networks. Master's thesis, 2005.

Miscellany

Link relevant to off campus folks looking for ssh:
   SSH for non-commercial (university) use.

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