MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning

Milani et al. "MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022. doi:10.1007/978-3-031-26412-2_16

[Milani et al. "MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.](https://mlanthology.org/ecmlpkdd/2022/milani2022ecmlpkdd-maviper/) doi:10.1007/978-3-031-26412-2_16

@inproceedings{milani2022ecmlpkdd-maviper,
  title     = {{MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning}},
  author    = {Milani, Stephanie and Zhang, Zhicheng and Topin, Nicholay and Shi, Zheyuan Ryan and Kamhoua, Charles A. and Papalexakis, Evangelos E. and Fang, Fei},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2022},
  pages     = {251-266},
  doi       = {10.1007/978-3-031-26412-2_16},
  url       = {https://mlanthology.org/ecmlpkdd/2022/milani2022ecmlpkdd-maviper/}
}