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Panov, Aleksandr Igorevich

Statistics
Total publications: 23
Scientific articles: 23
Presentations: 1

Number of views:
This page:458
Abstract pages:3507
Full texts:1405
References:289
Associate professor
Candidate of physico-mathematical sciences

Subject:

machine learning, pattern recognition, cognitive computer modeling, multiagent systems


https://www.mathnet.ru/eng/person137157
List of publications on Google Scholar

Publications in Math-Net.Ru Citations
2025
1. N. È. Kachaev, A. N. Spiridonov, A. S. Gorodetsky, K. F. Muraviev, N. S. Oskolkov, A. Narendra, V. I. Shakhuro, D. A. Makarov, A. I. Panov, P. D. Fedotova, A. K. Kovalev, “Mind and motion aligned: a joint evaluation ISAACSIM benchmark for task planning and low-level policies in mobile manipulation”, Dokl. RAN. Math. Inf. Proc. Upr., 527 (2025),  459–470  mathnet  elib
2. D. V. Zelezetsky, E. K. Cherepanov, A. K. Kovalev, A. I. Panov, “RE:FRAME – retrieving experience from associative memory”, Dokl. RAN. Math. Inf. Proc. Upr., 527 (2025),  262–269  mathnet  elib
3. Z. A. Volovikova, M. A. Kuznetsova, A. A. Skrynnik, A. I. Panov, “Поправка к статье “Обзор мультимодальных сред для обучения с подкреплением”, 2024, том 520, No 2, с. 124–130”, Dokl. RAN. Math. Inf. Proc. Upr., 521 (2025),  124  mathnet
2024
4. M. I. Nesterova, A. A. Skrynnik, A. I. Panov, “Environments for automatic curriculum learning: a short survey”, Dokl. RAN. Math. Inf. Proc. Upr., 520:2 (2024),  251–259  mathnet  elib; Dokl. Math., 110:suppl. 1 (2024), S223–S229
5. Z. A. Volovikova, M. A. Kuznetsova, A. A. Skrynnik, A. I. Panov, “Review of multimodal environments for reinforcement learning”, Dokl. RAN. Math. Inf. Proc. Upr., 520:2 (2024),  124–130  mathnet  elib; Dokl. Math., 110:suppl. 1 (2024), S110–S116 1
2023
6. O. G. Grigoriev, D. A. Devyatkin, A. I. Molodchenkov, A. I. Panov, I. V. Smirnov, I. V. Sochenkov, N. V. Chudova, K. Yakovlev, “Artificial intelligence and cognitive modeling: creative heritage of G. S. Osipov”, Artificial Intelligence and Decision Making, 2023, no. 4,  3–15  mathnet  elib
7. A. K. Latyshev, A. I. Panov, “Methods of intrinsic motivation in model-based reinforcement learning problems”, Artificial Intelligence and Decision Making, 2023, no. 3,  84–97  mathnet  elib
8. K. V. Mironov, D. A. Yudin, M. Alhaddad, D. A. Makarov, D. S. Pushkarev, S. A. Linok, I. V. Belkin, A. S. Krishtopik, V. A. Golovin, K. Yakovlev, A. I. Panov, “STRL-Robotics: intelligent control for robotic platform in human-oriented environment”, Artificial Intelligence and Decision Making, 2023, no. 2,  45–63  mathnet  elib
2022
9. A. I. Panov, “Simultaneous learning and planning in a hierarchical control system for a cognitive agent”, Avtomat. i Telemekh., 2022, no. 6,  53–71  mathnet; Autom. Remote Control, 83:6 (2022), 869–883 7
10. A. K. Kovalev, A. I. Panov, “Application of pretrained large language models in embodied artificial intelligence”, Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022),  94–99  mathnet  elib; Dokl. Math., 106:suppl. 1 (2022), S85–S90 19
11. K. Yakovlev, A. Andreychuk, A. A. Skrynnik, A. I. Panov, “Planning and learning in multi-agent path finding”, Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022),  88–93  mathnet  elib; Dokl. Math., 106:suppl. 1 (2022), S79–S84 9
12. I. V. Smirnov, A. I. Panov, A. A. Chuganskaya, M. I. Suvorova, G. A. Kiselev, I. A. Kuruzov, O. G. Grigoriev, “Personal cognitive assistant: Planning activity with scripts”, Inform. Primen., 16:1 (2022),  46–53  mathnet 2
2020
13. G. S. Osipov, A. I. Panov, “Rational behaviour planning of cognitive semiotic agent in dynamic environment”, Artificial Intelligence and Decision Making, 2020, no. 4,  80–100  mathnet  elib; Scientific and Technical Information Processing, 48:6 (2021), 502–516 4
2019
14. I. V. Smirnov, A. I. Panov, A. A. Skrynnik, E. V. Chistova, “Personal cognitive assistant: Concept and key principals”, Inform. Primen., 13:3 (2019),  105–113  mathnet 5
2018
15. A. I. Panov, “Goal setting and behavior planning for cognitive agent”, Artificial Intelligence and Decision Making, 2018, no. 2,  21–35  mathnet  elib; Scientific and Technical Information Processing, 46:6 (2019), 404–415 13
16. A. I. Panov, “Formation of an image component of knowledge of the cognitive agent with a sign-based model of worldview”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2018, no. 4,  84–96  mathnet  elib 1
17. G. A. Kiselev, A. I. Panov, “Sign-based approach to the task of role distribution in the coalition of cognitive agents”, Tr. SPIIRAN, 57 (2018),  161–187  mathnet  elib 11
2017
18. G. S. Osipov, A. I. Panov, “Relationships and operations in agent's sign-based model of the world”, Artificial Intelligence and Decision Making, 2017, no. 4,  5–22  mathnet  elib; Scientific and Technical Information Processing, 45:5 (2018), 317–330 13
2016
19. A. I. Panov, K. Yakovlev, “On interaction of strategic and tactical planning for the coalition of agents in dynamic environment”, Artificial Intelligence and Decision Making, 2016, no. 4,  68–78  mathnet  elib
20. N. V. Chudova, A. I. Panov, “Causal inference in psychological data in the case of aggression”, Artificial Intelligence and Decision Making, 2016, no. 4,  38–46  mathnet  elib; Scientific and Technical Information Processing, 44:6 (2016), 424–429
2015
21. D. A. Makarov, A. I. Panov, K. Yakovlev, “Architecture of the multilayered intelligent control system for unmanned aerial vehicles”, Artificial Intelligence and Decision Making, 2015, no. 3,  18–33  mathnet  elib
22. A. I. Panov, A. V. Shvets, G. D. Volkova, “Method of extraction of causal relationships with optimized fact bases”, Artificial Intelligence and Decision Making, 2015, no. 1,  27–34  mathnet  elib; Scientific and Technical Information Processing, 42:6 (2015), 420–425 6
2013
23. A. I. Panov, “Identifying the reasons and effects in data of psychological testing by logical methods”, Artificial Intelligence and Decision Making, 2013, no. 1,  24–32  mathnet  elib; Scientific and Technical Information Processing, 41:5 (2013), 275–282 3

Presentations in Math-Net.Ru
1. Обучение с подкреплением как универсальный инструмент тонкой настройки: от RLHF до DeepSeek
Александр Панов
Colloquium of the Faculty of Computer Science
February 11, 2025 16:20   

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