Off-Policy Prediction Learning: An Empirical Study of Online Algorithms.

Ghiassian S, Rafiee B, Sutton RS

DOI: 10.1109/tnnls.2024.3373749
Published: 2025 Mar
Container: IEEE transactions on neural networks and learning systems
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tnnls.2024.3373749,
  title = {Off-Policy Prediction Learning: An Empirical Study of Online Algorithms.},
  author = {Ghiassian S and Rafiee B and Sutton RS},
  year = {2025},
  journal = {IEEE transactions on neural networks and learning systems},
  doi = {10.1109/tnnls.2024.3373749},
  url = {https://doi.org/10.1109/tnnls.2024.3373749}
}

RIS

TY  - JOUR
TI  - Off-Policy Prediction Learning: An Empirical Study of Online Algorithms.
AU  - Ghiassian S
AU  - Rafiee B
AU  - Sutton RS
PY  - 2025
JO  - IEEE transactions on neural networks and learning systems
DO  - 10.1109/tnnls.2024.3373749
UR  - https://doi.org/10.1109/tnnls.2024.3373749
ER  -

APA

S, G., B, R., & RS, S. (2025). Off-Policy Prediction Learning: An Empirical Study of Online Algorithms.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2024.3373749

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pubmed · retrieved 2026-09-26T20:07:25.387Z