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Publications in 1996

In Journal (refereed)

1. A. Eydgahi, M. Ghavamzadeh. "Properties of Branches Passing through Infinity in Root Locus Method". Journal of Faculty of Engineering University of Tehran, pp 1-10, December 1996. view
2. R. Greiner. "PALO: A Probabilistic Hill-Climbing Algorithm". Artificial Intelligence (AIJ), 84(1-2), pp 177--204, July 1996. PSview
3. R. Holte, T. Mkadmi, R. Zimmer, A. MacDonald. "Speeding Up Problem Solving by Abstraction: A Graph Oriented Approach". Artificial Intelligence (AIJ), 85, pp 321-361, July 1996. PDFview
4. R. Greiner, R. Isukapalli. "Learning to Select Useful Landmarks". IEEE Transactions on Systems, Man and Cybernetics, Part B, June 1996. PDFview
5. R. Holte, T. Mkadmi, R. Zimmer, A. MacDonald. " Speeding up problem solving by abstraction: a graph oriented approach". Artificial Intelligence (Magazine), 85, pp 321-361, June 1996. view
6. A. Plaat, J. Schaeffer. "Best-First Fixed-Depth Minimax Algorithms". Artificial Intelligence (AIJ), 87((1-2)), pp 255-293, June 1996. PDFview
7. A. Eydgahi, M. Ghavamzadeh. "Branches Passing through Infinity in Root Locus Method". Journal of Faculty of Engineering University of Tehran, pp 9-15, June 1996. view
8. R. Greiner, P. Orponen. "Probably Approximately Optimal Satisficing Strategies". Artificial Intelligence (AIJ), April 1996. PSview
9. S. Singh, R. Sutton. "Reinforcement Learning With Replacing Eligibility Traces". Machine Learning Journal (MLJ), (22), pp 123-158, January 1996. view

In Conference (refereed)

10. R. Greiner, D. Schuurmans. "Learning to Classify Incomplete Examples". Conference on Learning Theory (COLT), August 1996. PSview
11. R. Greiner, A. Grove, A. Kogan. "Exploiting the Omission of Irrelevant Data". International Conference on Machine Learning (ICML), pp 207-215, July 1996. PDFview
12. R. Greiner, A. Grove, D. Roth. "Learning Active Classifiers". International Conference on Machine Learning (ICML), pp 207-215, July 1996. PDFview
13. R. Holte, J. Yan. "Inferring What a User is Not Interested In". Canadian Conference on Artificial Intelligence (CAI), pp 159-171, May 1996. PSview
14. R. Sutton. "Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding". Neural Information Processing Systems (NIPS), pp 1038-1044, January 1996. PDFview
15. R. Holte, F. Peng, R. Zimmer, A. MacDonald. "Hierarchical A*: Searching Abstraction Hierarchies Efficiently". National Conference on Artificial Intelligence (AAAI), Portland, Oregon, January 1996. view

In Workshop

16. M. Bowling, P. Stone, M. Veloso. "Predictive Memory for an inaccessible environment". RoboCup, November 1996. PDFview
17. R. Mehra, B. Ravichandran, R. Sutton. "Adaptive Intelligent Scheduling for ATM Networks". Yale Workshop on Adaptive and Learning Systems, pp 106-111, January 1996. PDFview
18. L. Kuvayev, R. Sutton. "Model-Based Reinforcement Learning With An Approximate, Learned Model". Yale Workshop on Adaptive and Learning Systems, pp 101-105, January 1996. PDFview

Other Categories

19. D. Schuurmans. "Effective Classification Learning". Value of Information in Inference, Learning and Decision-Making, January 1996. view
20. D. Precup, R. Sutton. "Empirical Comparison of Gradient Descent and Exponentiated Gradient Descent in Supervised and Reinforcement Learning". Technical Report, January 1996. PDFview
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