Stabilizing Extreme Q-learning by Maclaurin Expansion

Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada

Open source

DOI: 10.5281/zenodo.13899776
Published: 2024-06-07T12:43:17Z
Container: Reinforcement Learning Journal, 2024, Volume 3, pages 1427-1440
Publisher: arXiv
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.5281/zenodo.13899776,
  title = {Stabilizing Extreme Q-learning by Maclaurin Expansion},
  author = {Motoki Omura and Takayuki Osa and Yusuke Mukuta and Tatsuya Harada},
  year = {2024},
  journal = {Reinforcement Learning Journal, 2024, Volume 3, pages 1427-1440},
  doi = {10.5281/zenodo.13899776},
  url = {https://doi.org/10.5281/zenodo.13899776}
}

RIS

TY  - JOUR
TI  - Stabilizing Extreme Q-learning by Maclaurin Expansion
AU  - Motoki Omura
AU  - Takayuki Osa
AU  - Yusuke Mukuta
AU  - Tatsuya Harada
PY  - 2024
JO  - Reinforcement Learning Journal, 2024, Volume 3, pages 1427-1440
DO  - 10.5281/zenodo.13899776
UR  - https://doi.org/10.5281/zenodo.13899776
ER  -

APA

Omura, M., Osa, T., Mukuta, Y., & Harada, T. (2024). Stabilizing Extreme Q-learning by Maclaurin Expansion. Reinforcement Learning Journal, 2024, Volume 3, pages 1427-1440. https://doi.org/10.5281/zenodo.13899776

Source records

arxiv · retrieved 2026-11-10T08:36:09.098Z