DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.
- DOI
- 10.1109/tpami.2026.3708096
- Published
- 2026 Nov
- Container
- IEEE transactions on pattern analysis and machine intelligence
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3708096,
title = {DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.},
author = {Song Z and Liu L and Pan H and Liao B and Guo M and Yang L and Zhang Y and Xu S and Jia C and Luo Y},
year = {2026},
journal = {IEEE transactions on pattern analysis and machine intelligence},
doi = {10.1109/tpami.2026.3708096},
url = {https://doi.org/10.1109/tpami.2026.3708096}
}RIS
TY - JOUR TI - DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving. AU - Song Z AU - Liu L AU - Pan H AU - Liao B AU - Guo M AU - Yang L AU - Zhang Y AU - Xu S AU - Jia C AU - Luo Y PY - 2026 JO - IEEE transactions on pattern analysis and machine intelligence DO - 10.1109/tpami.2026.3708096 UR - https://doi.org/10.1109/tpami.2026.3708096 ER -
APA
Z, S., L, L., H, P., B, L., M, G., L, Y., Y, Z., S, X., C, J., & Y, L. (2026). DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3708096
Source records
- pubmed · retrieved 2026-11-10T09:37:41.589Z