Learning Hierarchical Behaviors

  title={Learning Hierarchical Behaviors},
  author={David Andre},
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

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
2 Extracted Citations
18 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-2 of 2 extracted citations

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 18 references

Finding structure

  • T. Thrun, A. Schwartz
  • 1995
Highly Influential
4 Excerpts

The part-game algorithm for vari

  • A. W. Moore
  • 1994
Highly Influential
5 Excerpts

Reinforcement learning for Robots using neural netw

  • L. J. Lin
  • 1993
Highly Influential
4 Excerpts

Bayesian QLearning

  • N. Friedman, R. Dearden, S. J. Russell
  • 1998

Hierarchical control and learning

  • R. Parr
  • 1998
3 Excerpts

Similar Papers

Loading similar papers…