Revisiting Overestimation Bias of Q-learning: Breaking Bias Propagation Chains Does Well
- DOI
- 10.1109/tpami.2026.3750927
- Published
- 2026
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3750927,
title = {Revisiting Overestimation Bias of Q-learning: Breaking Bias Propagation Chains Does Well},
author = {Hong Xie and Tao Tan and Defu Lian and Pu Li},
year = {2026},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2026.3750927},
url = {https://doi.org/10.1109/tpami.2026.3750927}
}RIS
TY - JOUR TI - Revisiting Overestimation Bias of Q-learning: Breaking Bias Propagation Chains Does Well AU - Hong Xie AU - Tao Tan AU - Defu Lian AU - Pu Li PY - 2026 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2026.3750927 UR - https://doi.org/10.1109/tpami.2026.3750927 ER -
APA
Xie, H., Tan, T., Lian, D., & Li, P. (2026). Revisiting Overestimation Bias of Q-learning: Breaking Bias Propagation Chains Does Well. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3750927
Source records
- crossref · retrieved 2026-11-07T07:20:34.280Z