Practical Issues in Temporal Difference Learning

@article{Tesauro1992PracticalII,
  title={Practical Issues in Temporal Difference Learning},
  author={G. Tesauro},
  journal={Machine Learning},
  year={1992},
  volume={8},
  pages={257-277}
}
This paper examines whether temporal difference methods for training connectionist networks, such as Sutton's TD(λ) algorithm, can be successfully applied to complex real-world problems. A number of important practical issues are identified and discussed from a general theoretical perspective. These practical issues are then examined in the context of a case study in which TD(λ) is applied to learning the game of backgammon from the outcome of self-play. This is apparently the first application… Expand
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