End-to-end scheduling for carrier-based aircraft sortie operations using deep reinforcement learning

@article{changjiu2026,
  title        = {{End-to-end scheduling for carrier-based aircraft sortie operations using deep reinforcement learning}},
  author       = {Changjiu Li et al.},
  journal      = {Information Processing and Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.ipm.2025.104590},
}

TY  - JOUR
TI  - End-to-end scheduling for carrier-based aircraft sortie operations using deep reinforcement learning
AU  - al., Changjiu Li et
JO  - Information Processing and Management
PY  - 2026
ER  -

Changjiu Li et al. (2026). End-to-end scheduling for carrier-based aircraft sortie operations using deep reinforcement learning. *Information Processing and Management*. https://doi.org/https://doi.org/10.1016/j.ipm.2025.104590

Changjiu Li et al.. "End-to-end scheduling for carrier-based aircraft sortie operations using deep reinforcement learning." *Information Processing and Management* (2026). https://doi.org/https://doi.org/10.1016/j.ipm.2025.104590.

End-to-end scheduling for carrier-based aircraft sortie operations using deep reinforcement learning
Changjiu Li et al. · Information Processing and Management · 2026
https://doi.org/https://doi.org/10.1016/j.ipm.2025.104590