Enhancing Stability of Probabilistic Model-Based Reinforcement Learning by Adaptive Noise Filtering.
- DOI
- 10.1109/tnnls.2026.3672453
- Published
- 2026 Sep
- 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.2026.3672453,
title = {Enhancing Stability of Probabilistic Model-Based Reinforcement Learning by Adaptive Noise Filtering.},
author = {Huang W and Yue X and Chen Y and Sun T and Cui Y},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3672453},
url = {https://doi.org/10.1109/tnnls.2026.3672453}
}RIS
TY - JOUR TI - Enhancing Stability of Probabilistic Model-Based Reinforcement Learning by Adaptive Noise Filtering. AU - Huang W AU - Yue X AU - Chen Y AU - Sun T AU - Cui Y PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3672453 UR - https://doi.org/10.1109/tnnls.2026.3672453 ER -
APA
W, H., X, Y., Y, C., T, S., & Y, C. (2026). Enhancing Stability of Probabilistic Model-Based Reinforcement Learning by Adaptive Noise Filtering.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3672453
Source records
- pubmed · retrieved 2026-09-25T13:18:36.206Z