Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning

Laƫtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat. Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning. In Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja, editors, Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I. Volume 4131 of Lecture Notes in Computer Science, pages 840-849, Springer, 2006. [doi]

@inproceedings{MatignonLF06:0,
  title = {Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning},
  author = {Laƫtitia Matignon and Guillaume J. Laurent and Nadine Le Fort-Piat},
  year = {2006},
  doi = {10.1007/11840817_87},
  url = {http://dx.doi.org/10.1007/11840817_87},
  researchr = {https://researchr.org/publication/MatignonLF06%3A0},
  cites = {0},
  citedby = {0},
  pages = {840-849},
  booktitle = {Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I},
  editor = {Stefanos D. Kollias and Andreas Stafylopatis and Wlodzislaw Duch and Erkki Oja},
  volume = {4131},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-38625-4},
}