Combining Model-Based and Model-Free Reinforcement Learning Policies for More Efficient Sepsis Treatment

Xiangyu Liu, Chao Yu, Qikai Huang, Luhao Wang, Jianfeng Wu, Xiangdong Guan. Combining Model-Based and Model-Free Reinforcement Learning Policies for More Efficient Sepsis Treatment. In Yanjie Wei, Min Li 0007, Pavel Skums, Zhipeng Cai 0001, editors, Bioinformatics Research and Applications - 17th International Symposium, ISBRA 2021, Shenzhen, China, November 26-28, 2021, Proceedings. Volume 13064 of Lecture Notes in Computer Science, pages 105-117, Springer, 2021. [doi]

@inproceedings{LiuYHWWG21,
  title = {Combining Model-Based and Model-Free Reinforcement Learning Policies for More Efficient Sepsis Treatment},
  author = {Xiangyu Liu and Chao Yu and Qikai Huang and Luhao Wang and Jianfeng Wu and Xiangdong Guan},
  year = {2021},
  doi = {10.1007/978-3-030-91415-8_10},
  url = {https://doi.org/10.1007/978-3-030-91415-8_10},
  researchr = {https://researchr.org/publication/LiuYHWWG21},
  cites = {0},
  citedby = {0},
  pages = {105-117},
  booktitle = {Bioinformatics Research and Applications - 17th International Symposium, ISBRA 2021, Shenzhen, China, November 26-28, 2021, Proceedings},
  editor = {Yanjie Wei and Min Li 0007 and Pavel Skums and Zhipeng Cai 0001},
  volume = {13064},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-91415-8},
}