Hybrid Action-Based Reinforcement Learning for Multiobjective Compatible Autonomous Driving.
- DOI
- 10.1109/tnnls.2026.3674573
- Published
- 2026 Sep
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3674573,
title = {Hybrid Action-Based Reinforcement Learning for Multiobjective Compatible Autonomous Driving.},
author = {Jin G and Li Z and Leng B and Han W and Xiong L and Sun C},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3674573},
url = {https://doi.org/10.1109/tnnls.2026.3674573}
}RIS
TY - JOUR TI - Hybrid Action-Based Reinforcement Learning for Multiobjective Compatible Autonomous Driving. AU - Jin G AU - Li Z AU - Leng B AU - Han W AU - Xiong L AU - Sun C PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3674573 UR - https://doi.org/10.1109/tnnls.2026.3674573 ER -
APA
G, J., Z, L., B, L., W, H., L, X., & C, S. (2026). Hybrid Action-Based Reinforcement Learning for Multiobjective Compatible Autonomous Driving.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3674573
Source records
- pubmed · retrieved 2026-09-25T02:24:42.607Z
- europe-pmc · retrieved 2026-09-25T02:24:42.646Z