Probabilistic Inference for Determining Options in Reinforcement Learning

2016

Article

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Author(s): Daniel, C. and van Hoof, H. and Peters, J. and Neumann, G.
Journal: Machine Learning, Special Issue
Volume: 104
Number (issue): 2
Pages: 337--357
Year: 2016
Editors: G{\"a}rtner, T., Nanni, M., Passerini, A. and Robardet, C.

Department(s): Autonomous Motion, Empirical Inference
Bibtex Type: Article (article)

DOI: 10.1007/s10994-016-5580-x
Event Name: European Conference on Machine Learning im Machine Learning, Journal Track
Event Place: Riva del Garda, Italy
Note: Best Student Paper Award of ECMLPKDD 2016

BibTex

@article{DanHooPetNeu16,
  title = {Probabilistic Inference for Determining Options in Reinforcement Learning},
  author = {Daniel, C. and van Hoof, H. and Peters, J. and Neumann, G.},
  journal = {Machine Learning, Special Issue},
  volume = {104},
  number = {2},
  pages = {337--357},
  editors = {G{\"a}rtner, T., Nanni, M., Passerini, A. and Robardet, C.},
  year = {2016},
  note = {},
  crossref = {}
}