Search Results - "Panov, Aleksandr"

Fields of invariants for unipotent radicals of parabolic subgroups by Panov, Aleksandr N.

“…The paper is devoted to the problem of finding free generators in the fields of invariants for actions of unipotent groups on affine varieties. We consider the…”
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When to Switch: Planning and Learning for Partially Observable Multi-Agent Pathfinding by Skrynnik, Alexey, Andreychuk, Anton, Yakovlev, Konstantin, Panov, Aleksandr I.

“…Multi-agent pathfinding (MAPF) is a problem that involves finding a set of non-conflicting paths for a set of agents confined to a graph. In this work, we…”
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Forgetful experience replay in hierarchical reinforcement learning from expert demonstrations by Skrynnik, Alexey, Staroverov, Aleksey, Aitygulov, Ermek, Aksenov, Kirill, Davydov, Vasilii, Panov, Aleksandr I.

“…Deep reinforcement learning (RL) shows impressive results in complex gaming and robotic environments. These results are commonly achieved at the expense of…”
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Hierarchical Landmark Policy Optimization for Visual Indoor Navigation by Staroverov, Aleksei, Panov, Aleksandr I.

“…In this paper, we study the problem of visual indoor navigation to an object that is defined by its semantic category. Recent works have shown significant…”
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Vector Semiotic Model for Visual Question Answering by Kovalev, Alexey K., Shaban, Makhmud, Osipov, Evgeny, Panov, Aleksandr I.

“…In this paper, we propose a Vector Semiotic Model as a possible solution to the symbol grounding problem in the context of Visual Question Answering. The…”
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Hybrid Policy Learning for Multi-Agent Pathfinding by Skrynnik, Alexey, Yakovleva, Alexandra, Davydov, Vasilii, Yakovlev, Konstantin, Panov, Aleksandr I.

“…In this work we study the behavior of groups of autonomous vehicles, which are the part of the Internet of Vehicles systems. One of the challenging modes of…”
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Sign-based image criteria for social interaction visual question answering by Chuganskaya, Anfisa A, Kovalev, Alexey K, Panov, Aleksandr I

“…Abstract The multi-modal tasks have started to play a significant role in the research on artificial intelligence. A particular example of that domain is…”
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Interactive Semantic Map Representation for Skill-Based Visual Object Navigation by Zemskova, Tatiana, Staroverov, Aleksei, Muravyev, Kirill, Yudin, Dmitry A., Panov, Aleksandr I.

“…Visual object navigation is one of the key tasks in mobile robotics. One of the most important components of this task is the accurate semantic representation…”
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Multilayer cognitive architecture for UAV control by Emel’yanov, Stanislav, Makarov, Dmitry, Panov, Aleksandr I., Yakovlev, Konstantin

“…Extensive use of unmanned aerial vehicles (UAVs) in recent years has induced the rapid growth of research areas related to UAV production. Among these, the…”
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Real-Time Object Navigation With Deep Neural Networks and Hierarchical Reinforcement Learning by Staroverov, Aleksey, Yudin, Dmitry A., Belkin, Ilya, Adeshkin, Vasily, Solomentsev, Yaroslav K., Panov, Aleksandr I.

“…In the last years, deep learning and reinforcement learning methods have significantly improved mobile robots in such fields as perception, navigation, and…”
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Hierarchical intrinsically motivated agent planning behavior with dreaming in grid environments by Dzhivelikian, Evgenii, Latyshev, Artem, Kuderov, Petr, Panov, Aleksandr I.

“…Biologically plausible models of learning may provide a crucial insight for building autonomous intelligent agents capable of performing a wide range of tasks…”
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Skill Fusion in Hybrid Robotic Framework for Visual Object Goal Navigation by Staroverov, Aleksei, Muravyev, Kirill, Yakovlev, Konstantin, Panov, Aleksandr I.

“…In recent years, Embodied AI has become one of the main topics in robotics. For the agent to operate in human-centric environments, it needs the ability to…”
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Pathfinding in stochastic environments: learning vs planning by Skrynnik, Alexey, Andreychuk, Anton, Yakovlev, Konstantin, Panov, Aleksandr

“…Among the main challenges associated with navigating a mobile robot in complex environments are partial observability and stochasticity. This work proposes a…”
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Fine-Tuning Multimodal Transformer Models for Generating Actions in Virtual and Real Environments by Staroverov, Aleksei, Gorodetsky, Andrey S., Krishtopik, Andrei S., Izmesteva, Uliana A., Yudin, Dmitry A., Kovalev, Alexey K., Panov, Aleksandr I.

“…In this work, we propose and investigate an original approach to using a pre-trained multimodal transformer of a specialized architecture for controlling a…”
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Precarious Employment in the Vologda Oblast: Current State and Trends by Panov, Aleksandr

“…The paper is devoted to the study of the phenomenon of precarious employment in Russian regions. Today, the socio-economic sciences lack a single concept of…”
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Effectiveness of Labor Market Regulation in the Region (Case Study of Crisis Response Measures) by Panov, Aleksandr

“…The paper analyzes public administration efficiency in the social and labor sphere. It examines main theoretical and methodological approaches to the concept…”
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Gender analysis of the Russian labor market by Panov, Aleksandr

“…The issue of gender inequality in the labor market affects all world countries to some extent. As salary is the basis of population’s sources of income in…”
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Vector Symbolic Scene Representation for Semantic Place Recognition by Kirilenko, Daniil, Kovalev, Alexey K., Solomentsev, Yaroslav, Melekhin, Alexander, Yudin, Dmitry A., Panov, Aleksandr I.

“…Most state-of-the-art methods do not explicitly use scene semantics for place recognition by the images. We address this problem and propose a new two-stage…”
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Generative models for grid-based and image-based pathfinding by Kirilenko, Daniil, Andreychuk, Anton, Panov, Aleksandr I., Yakovlev, Konstantin

“…Pathfinding is a challenging problem which generally asks to find a sequence of valid moves for an agent provided with a representation of the environment,…”
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Hebbian spatial encoder with adaptive sparse connectivity by Kuderov, Petr, Dzhivelikian, Evgenii, Panov, Aleksandr I.

“…Biologically plausible neural networks have demonstrated efficiency in learning and recognizing patterns in data. This paper proposes a general online…”
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