Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning

Cite

Text

He et al. "Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023. doi:10.1007/978-3-031-43421-1_34

Markdown

[He et al. "Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023.](https://mlanthology.org/ecmlpkdd/2023/he2023ecmlpkdd-eigensubspace/) doi:10.1007/978-3-031-43421-1_34

BibTeX

@inproceedings{he2023ecmlpkdd-eigensubspace,
  title     = {{Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning}},
  author    = {He, Qiang and Zhou, Tianyi and Fang, Meng and Maghsudi, Setareh},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2023},
  pages     = {573-589},
  doi       = {10.1007/978-3-031-43421-1_34},
  url       = {https://mlanthology.org/ecmlpkdd/2023/he2023ecmlpkdd-eigensubspace/}
}