Learning Hierarchical Behaviors

@inproceedings{Andre1998LearningHB,
  title={Learning Hierarchical Behaviors},
  author={David Andre},
  year={1998}
}
In the last few years, many researchers have beg un to study how to introduce hierarchy into reinforcement learning methods. Generally, th is work has pushed the envelope in one of several important directions, but it typically has voided the question of how to learn systems of hierarchical behavior from experience. We present a preliminary system for learning simple hierarchical systems using a constrained language f or behavior specification. The system learns “do-until” macros by choosing a… CONTINUE READING

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  • T. Thrun, A. Schwartz
  • 1995
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  • A. W. Moore
  • 1994
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  • L. J. Lin
  • 1993
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  • N. Friedman, R. Dearden, S. J. Russell
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  • R. Parr
  • 1998
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