How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective

Cite

Text

Wang et al. "How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective." International Joint Conference on Artificial Intelligence, 2024.

Markdown

[Wang et al. "How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective." International Joint Conference on Artificial Intelligence, 2024.](https://mlanthology.org/ijcai/2024/wang2024ijcai-learn/)

BibTeX

@inproceedings{wang2024ijcai-learn,
  title     = {{How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective}},
  author    = {Wang, Shuo and Wu, Zhihao and Wang, Jinwen and Hu, Xiaobo and Lin, Youfang and Lv, Kai},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {1389-1397},
  url       = {https://mlanthology.org/ijcai/2024/wang2024ijcai-learn/}
}