Avoiding moving obstacles with stochastic hybrid dynamics using PEARL: PrEference Appraisal Reinforcement Learning

Aleksandra Faust, Hao-Tien Chiang, Nathanael Rackley, Lydia Tapia. Avoiding moving obstacles with stochastic hybrid dynamics using PEARL: PrEference Appraisal Reinforcement Learning. In Danica Kragic, Antonio Bicchi, Alessandro De Luca 0001, editors, 2016 IEEE International Conference on Robotics and Automation, ICRA 2016, Stockholm, Sweden, May 16-21, 2016. pages 484-490, IEEE, 2016. [doi]

@inproceedings{FaustCRT16,
  title = {Avoiding moving obstacles with stochastic hybrid dynamics using PEARL: PrEference Appraisal Reinforcement Learning},
  author = {Aleksandra Faust and Hao-Tien Chiang and Nathanael Rackley and Lydia Tapia},
  year = {2016},
  doi = {10.1109/ICRA.2016.7487169},
  url = {http://dx.doi.org/10.1109/ICRA.2016.7487169},
  researchr = {https://researchr.org/publication/FaustCRT16},
  cites = {0},
  citedby = {0},
  pages = {484-490},
  booktitle = {2016 IEEE International Conference on Robotics and Automation, ICRA 2016, Stockholm, Sweden, May 16-21, 2016},
  editor = {Danica Kragic and Antonio Bicchi and Alessandro De Luca 0001},
  publisher = {IEEE},
  isbn = {978-1-4673-8026-3},
}