1. 2024
  2. Comparison of multi-step forecasting methods for renewable energy

    Dolgintseva, E., Wu, H., Petrosian, O., Zhadan, A., Allakhverdyan, A. & Мартемьянов, А. А., 7 Mar 2024, (E-pub ahead of print) In: Energy Systems. 32 p.

    Research output: Contribution to journalArticlepeer-review

  3. Heterogeneous Computational Scheduling using Adaptive Neural Hyper-heuristic

    Аллахвердян, А. Л., Жадан, А. Ю., Кондратов, И. В., Петросян, О. Л., Романовский, А., Харин, В. & Ли, И., 2024, (Accepted/In press) In: Doklady Mathematics. 110

    Research output: Contribution to journalArticlepeer-review

  4. Multi-Agent Local Voting Protocol for Online DAG Scheduling

    Петросян, О. Л., Житнухин, Н. А., Жадан, А. Ю., Кондратов, И. В., Аллахвердян, А. Л., Граничин, О. Н., Романовский, А. & Харин, В., 2024, (Accepted/In press) In: Computer Research and Modeling.

    Research output: Contribution to journalArticlepeer-review

  5. 2023
  6. Multi-agent Reinforcement Learning based Adaptive Heterogeneous DAG Scheduling

    Петросян, О. Л., Жадан, А. Ю., Аллахвердян, А. Л., Кондратов, И. В., Михеев, В. С., Romanovskii, A. & Kharin, V., 3 Oct 2023, In: ACM Transactions on Intelligent Systems and Technology. 14, 5, 26 p., 87.

    Research output: Contribution to journalArticlepeer-review

  7. Monte Carlo Tree Search with Adaptive Estimation for DAG Scheduling

    Allahverdyan, A., Zhadan, A., Kondratov, I., Mikheev, V., Petrosian, O., Romanovskii, A. & Kharin, V., 8 Jul 2023, In: Lecture Notes in Computer Science. 13969, p. 335–349 15 p.

    Research output: Contribution to journalArticlepeer-review

  8. 2022

ID: 28938975