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Publications in 1992

In Journal (refereed)

1. R. Holte, L. Rosier, I. Tulchinsky. "Pinwheel Scheduling with Two Distinct Numbers". Theoretical Computer Science, Part A: 100(1), pp 106-135, June 1992. view
2. R. Sutton. "Introduction: The Challenge of Reinforcement Learning". Machine Learning Journal (MLJ), (ed: R.Sutton), 8(3-4), pp 225-227, January 1992. view
3. R. Sutton. "Machines That Learn and Mimic the Brain". ACCESS, GTE's Journal of Science and Technology, January 1992. view

In Conference (refereed)

4. T. Sanger, R. Sutton, C. Matheus. "Iterative Construction of Sparse Polynomial Approximations". Neural Information Processing Systems (NIPS), Denver, CO, USA, December 1992. view
5. R. Greiner, D. Schuurmans. "Learning Useful Horn Approximations". Knowledge Representation and Reasoning (KR), October 1992. PSview
6. R. Greiner, I. Jurisica. "A Statistical Approach to Solving the EBL Utility Problem". National Conference on Artificial Intelligence (AAAI), July 1992. PSview
7. M. Gluck, P. Glauthier, R. Sutton. "Adaptation of Cue-Specific Learning Rates in Network Models of Human Category Learning". Conference of the Cognitive Science Society (CogSci), pp 540-545, July 1992. view
8. R. Greiner. "Learning Efficient Query Processing Strategies". Principles of Database Systems (PODS), San Diego, June 1992. PSview
9. R. Holte, T. Mkadmi, R. Zimmer, A. MacDonald. "Translating Theory into Practice: The Agony and the Ecstasy". June 1992. view
10. V. Chaudhri, R. Greiner. "A Formal Analysis of Solution Caching". Canadian Conference on Artificial Intelligence (CAI), Vancouver, May 1992. PDFview
11. R. Greiner. "Probabilistic Hill-Climbing: Theory and Applications". Canadian Conference on Artificial Intelligence (CAI), Vancouver, May 1992. PDFview
12. A. Barto, R. Sutton, C. Watkins. "Sequential decision problems and neural networks". Neural Information Processing Systems (NIPS), Denver, CO, USA, May 1992. view
13. R. Holte, R. Zimmer, A. MacDonald. "When does Changing Representation Improve Problem-Solving Performance ?". May 1992. view
14. R. Greiner. "Learning Near-Optimal Horn Approximations". National Conference on Artificial Intelligence (AAAI), March 1992. view
15. R. Sutton. "Adapting Bias by Gradient Descent: An Incremental Version of Delta-Bar-Delta". National Conference on Artificial Intelligence (AAAI), January 1992. view
16. P. Clark, R. Holte. "Lazy Partial Evaluation: An Integration of Explanation-Based Generalisation and Partial Evaluation". International Conference on Machine Learning (ICML), pp 82-91, January 1992. view
17. R. Sutton. "Reinforcement Learning Architectures". ISKIT, pp 211-216, January 1992. PDFview

In Workshop

18. A. Barto, R. Sutton. "Gain Adaptation Beats Least Squares?". Yale Workshop on Adaptive and Learning Systems, pp 161-166, January 1992. PDFview
19. W. Cohen, R. Greiner, D. Schuurmans. "Probabilistic Hill-Climbing". Computational Learning Theory and Natural Learning Systems, (Edition II), MIT Press, pp 171--181, January 1992. view

Other Categories

20. R. Sutton. "Reinforcement Learning". Reinforcement Learning, Reprinting of a special issue of Machine Learning Journal, Kluwer Academic Press, (ed: Sutton R. S.), May 1992. view
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