Unicorn: A Universal and Collaborative Reinforcement Learning Approach Toward Generalizable Network-Wide Traffic Signal Control

@article{yifeng2026,
  title        = {{Unicorn: A Universal and Collaborative Reinforcement Learning Approach Toward Generalizable Network-Wide Traffic Signal Control}},
  author       = {Yifeng Zhang et al.},
  journal      = {IEEE Transactions on Intelligent Transportation Systems},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1109/tits.2026.3653478},
}

TY  - JOUR
TI  - Unicorn: A Universal and Collaborative Reinforcement Learning Approach Toward Generalizable Network-Wide Traffic Signal Control
AU  - al., Yifeng Zhang et
JO  - IEEE Transactions on Intelligent Transportation Systems
PY  - 2026
ER  -

Yifeng Zhang et al. (2026). Unicorn: A Universal and Collaborative Reinforcement Learning Approach Toward Generalizable Network-Wide Traffic Signal Control. *IEEE Transactions on Intelligent Transportation Systems*. https://doi.org/https://doi.org/10.1109/tits.2026.3653478

Yifeng Zhang et al.. "Unicorn: A Universal and Collaborative Reinforcement Learning Approach Toward Generalizable Network-Wide Traffic Signal Control." *IEEE Transactions on Intelligent Transportation Systems* (2026). https://doi.org/https://doi.org/10.1109/tits.2026.3653478.

Unicorn: A Universal and Collaborative Reinforcement Learning Approach Toward Generalizable Network-Wide Traffic Signal Control
Yifeng Zhang et al. · IEEE Transactions on Intelligent Transportation Systems · 2026
https://doi.org/https://doi.org/10.1109/tits.2026.3653478