Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states

Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto. Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states. Neural Networks, 94:13-23, 2017. [doi]

@article{CuiMS17-0,
  title = {Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states},
  author = {Yunduan Cui and Takamitsu Matsubara and Kenji Sugimoto},
  year = {2017},
  doi = {10.1016/j.neunet.2017.06.007},
  url = {https://doi.org/10.1016/j.neunet.2017.06.007},
  researchr = {https://researchr.org/publication/CuiMS17-0},
  cites = {0},
  citedby = {0},
  journal = {Neural Networks},
  volume = {94},
  pages = {13-23},
}