A hierarchical approach to efficient reinforcement learning in deterministic domains

Carlos Diuk, Alexander L. Strehl, Michael L. Littman. A hierarchical approach to efficient reinforcement learning in deterministic domains. In Hideyuki Nakashima, Michael P. Wellman, Gerhard Weiss, Peter Stone, editors, 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), Hakodate, Japan, May 8-12, 2006. pages 313-319, ACM, 2006. [doi]

@inproceedings{DiukSL06,
  title = {A hierarchical approach to efficient reinforcement learning in deterministic domains},
  author = {Carlos Diuk and Alexander L. Strehl and Michael L. Littman},
  year = {2006},
  doi = {10.1145/1160633.1160686},
  url = {http://doi.acm.org/10.1145/1160633.1160686},
  tags = {systematic-approach},
  researchr = {https://researchr.org/publication/DiukSL06},
  cites = {0},
  citedby = {0},
  pages = {313-319},
  booktitle = {5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), Hakodate, Japan, May 8-12, 2006},
  editor = {Hideyuki Nakashima and Michael P. Wellman and Gerhard Weiss and Peter Stone},
  publisher = {ACM},
  isbn = {1-59593-303-4},
}