1. 2024
  2. Graph attention network enhanced power allocation for wireless cellular system

    Qiushi, S., Хе, Я. & Petrosyan, O., 11 Jan 2024, In: Informatics and Automation. 23, 1, p. 259–283 25 p.

    Research output: Contribution to journalArticlepeer-review

  3. Bayesian learning in fish wars: dynamic estimation of unknown states and private information

    Петросян, О. Л. & Zhou, J., 2024, In: МАТЕМАТИЧЕСКАЯ ТЕОРИЯ ИГР И ЕЕ ПРИЛОЖЕНИЯ. 16, 2, p. 92-112 21 p.

    Research output: Contribution to journalArticlepeer-review

  4. Dynamic decision-making under uncertainty: Bayesian learning in environmental game theory

    Zhou, J., Петросян, О. Л. & Gao, H., 2024, In: Вестник Санкт-Петербургского университета. Прикладная математика. Информатика. Процессы управления. 20, 2, p. 289–297 9 p.

    Research output: Contribution to journalArticlepeer-review

  5. Explainable AI: Efficiency Sequential Shapley Updating Approach

    Петросян, О. Л. & Цзоу, Ц., 2024, In: IEEE Access. 12, p. 166414-166423 10 p.

    Research output: Contribution to journalArticlepeer-review

  6. IDP-Core Cooperative Solution in Differential Games with Continuous Updating

    Zeyang, W. & Petrosian, O., 2024, Frontiers of Dynamic Games (GTA 2022). Springer Nature, p. 211-233 23 p. (Trends in Mathematics; vol. Part F3521).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  7. Investment in Public Goods with Uncertain Depreciation

    Zhou, J., Petrosian, O., Pan, Y. & Long, Z., 2024, Frontiers of Dynamic Games (GTA 2022). Springer Nature, p. 235-244 10 p. (Trends in Mathematics; vol. Part F3521).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  8. 2023
  9. Long-Term Forecasting of Air Pollution Particulate Matter (PM2. 5) and Analysis of Influencing Factors

    Zhang, Y., Sun, Q., Liu, J. & Petrosian, O., 19 Dec 2023, In: Sustainability. 16, 1, 19.

    Research output: Contribution to journalArticlepeer-review

  10. Microgrid control for renewable energy sources based on deep reinforcement learning and numerical optimization approaches*

    Zhadan, A. U., Wu, H., Kudin, P. S., Zhang, Y. & Petrosian, O. L., 1 Nov 2023, In: Vestnik Sankt-Peterburgskogo Universiteta, Prikladnaya Matematika, Informatika, Protsessy Upravleniya. 19, 3, p. 391-402 12 p.

    Research output: Contribution to journalArticlepeer-review

  11. 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

  12. Audio-Visual Multi-modal Meeting Recording System

    Yang, W., Li, P., Yang, W., Liu, Y., Petrosian, O. & Ли, И., 21 Sep 2023, In: Lecture Notes in Networks and Systems. 776, p. 168-178 11 p.

    Research output: Contribution to journalArticlepeer-review

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