Achieving efficient and cognitively plausible learning in backgammon (2000)

Authors

Scott SannerJohn R. AndersonChristian LebiereMarsha C. Lovett

Bibliographic Entry

Sanner, S., Anderson, J. R., Lebiere, C., & Lovett, M. (2000). Achieving efficient and cognitively plausible learning in backgammon. In Proceedings of the Seventeenth International Conference on Machine Learning (pp. 823-830). San Francisco: Morgan Kaufmann.


Year: 2000
Type: inproceedings
Status: Published
Category: Game Playing
Achieving efficient and cognitively plausible learning in backgammon



Copyright Notice

The documents distributed here have been provided as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Copyright © 2002-2013 ACT-R Research Group