Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble

Cite

Text

Yang et al. "Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble." International Joint Conference on Artificial Intelligence, 2022. doi:10.24963/IJCAI.2022/508

Markdown

[Yang et al. "Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble." International Joint Conference on Artificial Intelligence, 2022.](https://mlanthology.org/ijcai/2022/yang2022ijcai-applicable/) doi:10.24963/IJCAI.2022/508

BibTeX

@inproceedings{yang2022ijcai-applicable,
  title     = {{Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble}},
  author    = {Yang, Zhengyu and Ren, Kan and Luo, Xufang and Liu, Minghuan and Liu, Weiqing and Bian, Jiang and Zhang, Weinan and Li, Dongsheng},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {3659-3665},
  doi       = {10.24963/IJCAI.2022/508},
  url       = {https://mlanthology.org/ijcai/2022/yang2022ijcai-applicable/}
}