Achieving Efficient and Cognitively Plausible Learning in Backgammon (2000)
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by
Scott Sanner Sanner
,
John R. Anderson
,
Christian Lebiere
,
Marsha Lovett
| Venue: | In Proceedings of the Seventeenth International Conference on Machine Learning (ICML-2000 |
| Citations: | 14 - 8 self |
BibTeX
@INPROCEEDINGS{Sanner00achievingefficient,
author = {Scott Sanner Sanner and John R. Anderson and Christian Lebiere and Marsha Lovett},
title = {Achieving Efficient and Cognitively Plausible Learning in Backgammon},
booktitle = {In Proceedings of the Seventeenth International Conference on Machine Learning (ICML-2000},
year = {2000},
pages = {823--830},
publisher = {Morgan Kaufmann}
}
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Abstract
Traditionally, computer applications to game
Citations
| 2959 | Artificial Intelligence: a Modern Approach - Russell, Norvig - 1995 |
| 2827 | Reinforcement Learning: An Introduction - Sutton, Barto - 1998 |
| 1154 | Unified theories of cognition - Newell - 1990 |
| 358 | TM: Machine Learning - Mitchell - 1997 |
| 132 | The atomic components of thought. Mahwah, NJ: Lawrence Erlbaum Associates - Anderson, Lebiere - 1998 |
| 70 | Coevolution of a backgammon player - Pollack, Blair, et al. - 1996 |
| 20 | Language and Thought - Chomsky - 1993 |
| 20 | A grandmaster chess machine - Hsu, Anantharaman, et al. - 1990 |
| 1 | Hitech wins north american computer chess championship - Berliner - 1986 |
| 1 | Rollout-based policy retraining - Galperin - 1998 |
| 1 | Blending: An ACT-R mechanism for aggregate retrievals - Lebiere - 1999 |
