GBDT Modeling of Deep Reinforcement Learning Agents Using Distillation

Toshiki Hatano, Toi Tsuneda, Yuta Suzuki, Kuniyasu Imade, Kazuki Shesimo, Satoshi Yamane. GBDT Modeling of Deep Reinforcement Learning Agents Using Distillation. In IEEE International Conference on Mechatronics, ICM 2021, Kashiwa, Japan, March 7-9, 2021. pages 1-6, IEEE, 2021. [doi]

@inproceedings{HatanoTSISY21,
  title = {GBDT Modeling of Deep Reinforcement Learning Agents Using Distillation},
  author = {Toshiki Hatano and Toi Tsuneda and Yuta Suzuki and Kuniyasu Imade and Kazuki Shesimo and Satoshi Yamane},
  year = {2021},
  doi = {10.1109/ICM46511.2021.9385636},
  url = {https://doi.org/10.1109/ICM46511.2021.9385636},
  researchr = {https://researchr.org/publication/HatanoTSISY21},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {IEEE International Conference on Mechatronics, ICM 2021, Kashiwa, Japan, March 7-9, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-4442-9},
}