Efficient state-space modularization for planning: theory, behavioral and neural signatures

Daniel McNamee, Daniel M. Wolpert, Máte Lengyel. Efficient state-space modularization for planning: theory, behavioral and neural signatures. In Daniel D. Lee, Masashi Sugiyama, Ulrike V. Luxburg, Isabelle Guyon, Roman Garnett, editors, Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. pages 4511-4519, 2016. [doi]

@inproceedings{McNameeWL16,
  title = {Efficient state-space modularization for planning: theory, behavioral and neural signatures},
  author = {Daniel McNamee and Daniel M. Wolpert and Máte Lengyel},
  year = {2016},
  url = {http://papers.nips.cc/paper/6320-efficient-state-space-modularization-for-planning-theory-behavioral-and-neural-signatures},
  researchr = {https://researchr.org/publication/McNameeWL16},
  cites = {0},
  citedby = {0},
  pages = {4511-4519},
  booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain},
  editor = {Daniel D. Lee and Masashi Sugiyama and Ulrike V. Luxburg and Isabelle Guyon and Roman Garnett},
}