RI | People | Justin Boyan

Text only version of this site

Justin Boyan
PhD Student, CS

No longer a member of RI.

Jump to: Research interests | Keywords | Labs & Groups | Projects | Publications

Research interests

Research interests: applied machine learning, esp. reinforcement learning; function approximation and neural networks; optimization; text learning.

Research interest keywords

computational neuroscience and machine learning

Past Labs & Groups

Auton Lab - We build practical large-scale deployments of very highly autonomous self-improving systems.

Past Projects

Auton Project - Research into Autonomous Learning Software Systems

Recent publications [View all 16 publications]

• Q2: memory-based active learning for optimizing noisy continuous functions
  A. Moore, J. Schneider, J. Boyan, and M.S. Lee
  IEEE International Conference on Robotics and Automation (ICRA '00), Vol. 4, April, 2000, pp. 4095 - 4102. [Abstract]
  Download: pdf [650 KB] copyrighted

• Least-Squares Temporal Difference Learning
  J. Boyan
  Machine Learning: Proceedings of the Sixteenth International Conference (ICML '99), 1999.
  Download: pdf [220 KB], ps.gz [82 KB] copyrighted

• Stochastic production scheduling to meet demand forecasts
  J. Schneider, J. Boyan, and A. Moore
  Proceedings of the 37th IEEE Conference on Decision and Control, Vol. 3, December, 1998, pp. 2722 - 2727. [Abstract]
  Download: pdf [587 KB] copyrighted

• Learning Evaluation Functions for Global Optimization
  J. Boyan
  doctoral dissertation, tech. report CMU-CS-98-152, Computer Science Department, Carnegie Mellon University, August, 1998.
  Download: pdf [1504 KB], ps.gz [634 KB] copyrighted

• Q2: Memory-based active learning for optimizing noisy continuous functions
  A. Moore, J. Schneider, J. Boyan, and M. Lee
  International Conference of Machine Learning, June, 1998. [Abstract]
  Download: pdf [721 KB], ps.gz [491 KB] copyrighted

• Value Function Based Production Scheduling
  J. Schneider, J. Boyan, and A. Moore
  Machine Learning: Proceedings of the Fifteenth International Conference (ICML '98), March, 1998. [Abstract]
  Download: pdf [144 KB], ps.gz [77 KB] copyrighted

• Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
  J. Boyan and A. Moore
  Fifteenth National Conference on Artificial Intelligence, 1998.
  Download: pdf [240 KB], ps.gz [103 KB] copyrighted

• The Anonymizer: Protecting User Privacy on the Web
  J. Boyan
  Computer-Mediated Communication Magazine, Vol. 4, No. 9, September, 1997.
  Download: pdf [19 KB], ps.gz [14 KB] copyrighted

• Using Prediction to Improve Combinatorial Optimization Search
  J. Boyan and A. Moore
  Sixth International Workshop on Artificial Intelligence and Statistics, 1997.
  Download: pdf [200 KB], ps.gz [105 KB] copyrighted

• A Machine Learning Architecture for Optimizing Web Search Engines
  J. Boyan, D. Freitag, and T. Joachims
  Proceedings of the AAAI workshop on Internet-Based Information Systems, 1996.
  Download: pdf [236 KB], ps.gz [115 KB] copyrighted