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Publications, Justin Boyan
Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.
- 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
- Learning Evaluation Functions for Large Acyclic Domains
J. Boyan and A. Moore
Machine Learning: Proceedings of the Thirteenth International Conference, organ Kaufmann, 1996.
Download: pdf [189 KB], ps.gz [57 KB] copyrighted
- Robust Value Function Approximation by Working Backwards
J. Boyan and A. Moore
Proceedings of the Workshop on Value Function Approximation, Machine Learning Conference, July, 1995.
[Abstract]
Download: pdf [213 KB], ps.gz [57 KB] copyrighted
- Generalization in Reinforcement Learning: Safely Approximating the Value Function
J. Boyan and A. Moore
Advances in Neural Information Processing Systems 7, MIT Press, 1995.
Download: pdf [659 KB], ps.gz [487 KB], ps.z [760 KB] copyrighted
- Packet routing in dynamically changing networks: A reinforcement learning approach
J. Boyan and M. Littman
January, 1994.
Download: pdf [110 KB], ps.gz [38 KB] copyrighted
- A Distributed Reinforcement Learning Scheme for Network Routing
M. Littman and J. Boyan
tech. report CMU-CS-93-165, Robotics Institute, Carnegie Mellon University, 1993.
Download: pdf [104 KB], ps.gz [33 KB] copyrighted
- Modular Neural Networks for Learning Context-Dependent Game Strategies
J. Boyan
doctoral dissertation, Department of Engineering and Computer Laboratory, University of Cambridge, August, 1992.
Download: pdf [454 KB], ps.gz [167 KB] copyrighted
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