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Curriculum Vitae
Justin A. Boyan

Quick Jumps

  • Address
  • Projects/Systems
  • Chronology
  • Activities/Teaching
  • Refereed Publications
  • Unrefereed Publications
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    Address

    Massachusetts Institute of Technology
    Artificial Intelligence Lab
    545 Technology Square NE43-753
    Cambridge, MA 02139
    Email: jboyan@arc.nasa.gov
    Web: http://ic.arc.nasa.gov/people/jboyan
    Phone: (617)-253-8005
    Fax: (617)-253-7781

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    Research Projects / Systems Developed

    2000- Adaptive Control of NASA Life Support Systems
    2000 Internet Auction Trading Strategies
    1999- Optimal Route Planning Under Time-Dependent Uncertainty
    1996- Learning Evaluation Functions for Global Optimization
    1994- Scaling Up Reinforcement Learning / Value Function Approximation
    1996 Information Retrieval / Web Indexing / Machine Learning
    1995-96 Anonymizing Proxy System for the World Wide Web
    1993-94 Reinforcement Learning for Network Routing / Multi-Agent Learning
    1992-93 Artificial Neural Network algorithms
    1992-94 Self-Learning Backgammon Software
    1986-95 Sole proprietor, BOYAN Communications
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    Chronology

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    Professional Activities / Teaching

    2000-2003 Editorial Board, Machine Learning Journal
    1995 Teaching Assistant, How to Think (Like a Computer Scientist)
    1993 Teaching Assistant, Artificial Neural Networks (graduate course)
    1992-1997 Organizer, CMU Reinforcement Learning Group
    1986-93 Mathematics teacher, Johns Hopkins University Center for Talented Youth residential summer program
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    Selected Refereed Publications

    [1] Boyan, J. A. and M. Mitzenmacher. "Improved Results for Route Planning in Stochastic Transportation Networks." Accepted to the 12th Annual Symposium on Discrete Algorithms (SODA), 2001.
    [2] Boyan, J. A. and M. L. Littman. "Exact Solutions to Time-Dependent MDPs." To appear in Advances in Neural Information Processing Systems (NIPS). MIT Press, 2001.
    [3] Boyan, J. A. and A. W. Moore. "Learning Evaluation Functions to Improve Local Search." Journal of Machine Learning Research, to appear, 2000.
    [4] Boyan, J. A. "Technical Update: Least-Squares Temporal Difference Learning." Machine Learning Journal, to appear, 2000.
    [5] Boyan, J. A. "Least-Squares Temporal Difference Learning." In Bratko, I., and Dzeroski, S., eds., Machine Learning: Proceedings of the Sixteenth International Conference (ICML), 1999.
    [6] Boyan, J. A. and A. W. Moore. "Learning Evaluation Functions for Global Optimization and Boolean Satisfiability." Fifteenth National Conference on Artificial Intelligence (AAAI), 1998.
    [7] Schneider, J. G., J. A. Boyan and A. W. Moore. "Value Function Based Production Scheduling." Machine Learning: Proceedings of the Fifteenth International Conference (ICML), 1998.
    [8] Moore, A. W., J. G. Schneider, J. A. Boyan and M. S. Lee. "Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions." Machine Learning: Proceedings of the Fifteenth International Conference (ICML), 1998.
    [9] Boyan, J. A. "The Anonymizer: Protecting User Privacy on the Web." Computer-Mediated Communication Magazine, 4 (9), September 1997.
    [10] Boyan, J. A. and A. W. Moore. "Using Prediction to Improve Combinatorial Optimization Search." Sixth International Workshop on Artificial Intelligence and Statistics (AISTATS), 1997.
    [11] Boyan, J. A. and A. W. Moore. "Learning Evaluation Functions for Large Acyclic Domains." In L. Saitta (ed.), Machine Learning: Proceedings of the Thirteenth International Conference (ICML). Morgan Kaufmann, 1996.
    [12] Boyan, J. A., and A. W. Moore, "Generalization in Reinforcement Learning: Safely Approximating the Value Function." In Tesauro, G., D. S. Touretzky, and T. K. Leen (eds.), Advances in Neural Information Processing Systems 7 (NIPS). MIT Press, 1995.
    [13] Boyan, J. A., and M. L. Littman, "Packet routing in dynamically changing networks: A reinforcement learning approach." In Cowan, J. D., Tesauro, G., and Alspector, J. (eds.), Advances in Neural Information Processing Systems 6 (NIPS). Morgan Kaufmann, 1994.
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    Selected Unrefereed Publications

    [14] Boyan, J. A. and W. L. Buntine, eds. "Statistical Machine Learning for Large-Scale Optimization." Neural Computing Surveys 3, 2000.
    [15] Boyan, J. A. "Learning Evaluation Functions for Global Optimization." Ph.D. thesis, Carnegie Mellon University, August 1998.
    [16] Boyan, J. A., A. W. Moore, and R. S. Sutton, Editors. "Proceedings of the Workshop on Value Function Approximation, Machine Learning Conference 1995." Carnegie Mellon Technical Report CMU-CS-95-206.
    jboyan@arc.nasa.gov
    Last modified: Mon Sep 25 2000