Aleksandr I. Panov

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 66

Top Topics

Reinforcement Learning

Collaborative Environment

Question Answering

Top Venues

Publications

Tatiana Zemskova, Aleksei Staroverov, Kirill Muravyev, Dmitry A. Yudin, Aleksandr I. Panov
Interactive Semantic Map Representation for Skill-Based Visual Object Navigation. IEEE Access 12 (2024)
Zoya Volovikova, Alexey Skrynnik, Petr Kuderov, Aleksandr I. Panov
Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments. CoRR (2024)
Daniil E. Kirilenko, Vitaliy Vorobyov, Alexey K. Kovalev, Aleksandr I. Panov
Object-Centric Learning with Slot Mixture Module. CoRR (2023)
Arkadii Bessonov, Alexey Staroverov, Huzhenyu Zhang, Alexey K. Kovalev, Dmitry A. Yudin, Aleksandr I. Panov
Recurrent Memory Decision Transformer. CoRR (2023)
Artem Latyshev, Aleksandr I. Panov
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review. CoRR (2023)
Evgenii Dzhivelikian, Petr Kuderov, Aleksandr I. Panov
Learning Successor Representations with Distributed Hebbian Temporal Memory. CoRR (2023)
Daniil E. Kirilenko, Alexandr Korchemnyi, Konstantin Smirnov, Alexey K. Kovalev, Aleksandr I. Panov
Quantized Disentangled Representations for Object-Centric Visual Tasks. PReMI (2023)
Petr Kuderov, Evgenii Dzhivelikian, Aleksandr I. Panov
Stabilize Sequential Data Representation via Attraction Module. BI (2023)
Zoya Volovikova, Petr Kuderov, Aleksandr I. Panov
Interpreting Decision Process in Offline Reinforcement Learning for Interactive Recommendation Systems. ICONIP (9) (2023)
Christina Sarkisyan, Alexandr Korchemnyi, Alexey K. Kovalev, Aleksandr I. Panov
Evaluation of Pretrained Large Language Models in Embodied Planning Tasks. AGI (2023)
Aleksei Staroverov, Andrey S. Gorodetsky, Andrei S. Krishtopik, Uliana A. Izmesteva, Dmitry A. Yudin, Alexey K. Kovalev, Aleksandr I. Panov
Fine-Tuning Multimodal Transformer Models for Generating Actions in Virtual and Real Environments. IEEE Access 11 (2023)
Leonid Ugadiarov, Aleksandr I. Panov
Graphical Object-Centric Actor-Critic. CoRR (2023)
Aleksei Staroverov, Kirill Muravyev, Konstantin S. Yakovlev, Aleksandr I. Panov
Skill Fusion in Hybrid Robotic Framework for Visual Object Goal Navigation. Robotics 12 (4) (2023)
Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Manvel Avetisian, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr I. Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin
Gradual Optimization Learning for Conformational Energy Minimization. CoRR (2023)
Dmitry A. Yudin, Yaroslav K. Solomentsev, Ruslan Musaev, Aleksei Staroverov, Aleksandr I. Panov
HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images. CoRR (2022)
Dmitry A. Yudin, Yaroslav K. Solomentsev, Ruslan Musaev, Aleksei Staroverov, Aleksandr I. Panov
HPointLoc: Point-Based Indoor Place Recognition Using Synthetic RGB-D Images. ICONIP (3) (2022)
Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail S. Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr I. Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Hassan Awadallah
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022. CoRR (2022)
Ivan Rodkin, Petr Kuderov, Aleksandr I. Panov
Stability and Similarity Detection for the Biologically Inspired Temporal Pooler Algorithms. BICA*AI (2022)
Christina Sarkisyan, Mikhail Savelov, Alexey K. Kovalev, Aleksandr I. Panov
Graph Strategy for Interpretable Visual Question Answering. AGI (2022)
Artem Zholus, Alexey Skrynnik, Shrestha Mohanty, Zoya Volovikova, Julia Kiseleva, Arthur Szlam, Marc-Alexandre Côté, Aleksandr I. Panov
IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents. CoRR (2022)
Daniil E. Kirilenko, Alexey K. Kovalev, Yaroslav K. Solomentsev, Alexander Melekhin, Dmitry A. Yudin, Aleksandr I. Panov
Vector Symbolic Scene Representation for Semantic Place Recognition. IJCNN (2022)
Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail S. Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr I. Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Marc-Alexandre Côté, Katja Hofmann, Ahmed Hassan Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. CoRR (2022)
Alexey K. Kovalev, Makhmud Shaban, Evgeny Osipov, Aleksandr I. Panov
Vector Semiotic Model for Visual Question Answering. Cogn. Syst. Res. 71 (2022)
Evgenii Dzhivelikian, Artem Latyshev, Petr Kuderov, Aleksandr I. Panov
Hierarchical intrinsically motivated agent planning behavior with dreaming in grid environments. Brain Informatics 9 (1) (2022)
Aleksandr I. Panov
Simultaneous Learning and Planning in a Hierarchical Control System for a Cognitive Agent. Autom. Remote. Control. 83 (6) (2022)
Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr I. Panov
planning. PeerJ Comput. Sci. 8 (2022)
Aleksey Staroverov, Aleksandr I. Panov
Hierarchical Landmark Policy Optimization for Visual Indoor Navigation. IEEE Access 10 (2022)
Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr I. Panov
POGEMA: Partially Observable Grid Environment for Multiple Agents. CoRR (2022)
Alexandra Rak, Alexey Skrynnik, Aleksandr I. Panov
Flexible Data Augmentation in Off-Policy Reinforcement Learning. ICAISC (1) (2021)
Vasilii Davydov, Alexey Skrynnik, Konstantin S. Yakovlev, Aleksandr I. Panov
Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments. CoRR (2021)
Evgenii Dzhivelikian, Artem Latyshev, Petr Kuderov, Aleksandr I. Panov
Intrinsic Motivation to Learn Action-State Representation with Hierarchical Temporal Memory. BI (2021)
Alexey K. Kovalev, Makhmud Shaban, Anfisa A. Chuganskaya, Aleksandr I. Panov
Applying Vector Symbolic Architecture and Semiotic Approach to Visual Dialog. HAIS (2021)
Artem Zholus, Aleksandr I. Panov
Case-Based Task Generalization in Model-Based Reinforcement Learning. AGI (2021)
Daniil E. Kirilenko, Alexey K. Kovalev, Evgeny Osipov, Aleksandr I. Panov
Question Answering for Visual Navigation in Human-Centered Environments. MICAI (2) (2021)
Petr Kuderov, Aleksandr I. Panov
Planning with Hierarchical Temporal Memory for Deterministic Markov Decision Problem. ICAART (2) (2021)
Artem Zholus, Aleksandr I. Panov
Multitask Adaptation by Retrospective Exploration with Learned World Models. CoRR (2021)
Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov
Forgetful experience replay in hierarchical reinforcement learning from expert demonstrations. Knowl. Based Syst. 218 (2021)
Leonid Ugadiarov, Alexey Skrynnik, Aleksandr I. Panov
Long-Term Exploration in Persistent MDPs. MICAI (1) (2021)
Aleksey Staroverov, Aleksandr I. Panov
Landmark Policy Optimization for Object Navigation Task. CoRR (2021)
Mais Jamal, Aleksandr I. Panov
Adaptive Maneuver Planning for Autonomous Vehicles Using Behavior Tree on Apollo Platform. SGAI Conf. (2021)
Leonid Ugadiarov, Alexey Skrynnik, Aleksandr I. Panov
Long-Term Exploration in Persistent MDPs. CoRR (2021)
Alexey Skrynnik, Alexandra Yakovleva, Vasilii Davydov, Konstantin S. Yakovlev, Aleksandr I. Panov
Hybrid Policy Learning for Multi-Agent Pathfinding. IEEE Access 9 (2021)
Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov
Hierarchical Deep Q-Network from imperfect demonstrations in Minecraft. Cogn. Syst. Res. 65 (2021)
Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail S. Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr I. Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Michel Galley, Ahmed Hassan Awadallah
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment. CoRR (2021)
Vasilii Davydov, Alexey Skrynnik, Konstantin S. Yakovlev, Aleksandr I. Panov
Q-Mixing Network for Multi-agent Pathfinding in Partially Observable Grid Environments. RCAI (2021)
Aleksey Staroverov, Dmitry A. Yudin, Ilya Belkin, Vasily Adeshkin, Yaroslav K. Solomentsev, Aleksandr I. Panov
Real-Time Object Navigation With Deep Neural Networks and Hierarchical Reinforcement Learning. IEEE Access 8 (2020)
Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations. CoRR (2020)
Gleb A. Kiselev, Aleksandr I. Panov
Q-Learning of Spatial Actions for Hierarchical Planner of Cognitive Agents. ICR (2020)
Andrey Gorodetskiy, Alexandra Shlychkova, Aleksandr I. Panov
Delta Schema Network in Model-Based Reinforcement Learning. AGI (2020)
Michael Martinson, Alexey Skrynnik, Aleksandr I. Panov
Navigating Autonomous Vehicle at the Road Intersection Simulator with Reinforcement Learning. RCAI (2020)
Andrey Gorodetskiy, Alexandra Shlychkova, Aleksandr I. Panov
Delta Schema Network in Model-based Reinforcement Learning. CoRR (2020)
Alexey K. Kovalev, Aleksandr I. Panov, Evgeny Osipov
Hyperdimensional Representations in Semiotic Approach to AGI. AGI (2020)
Alexey K. Kovalev, Aleksandr I. Panov
Mental Actions and Modelling of Reasoning in Semiotic Approach to AGI. AGI (2019)
Maxim Shikunov, Aleksandr I. Panov
Hierarchical Reinforcement Learning Approach for the Road Intersection Task. BICA (2019)
Gleb A. Kiselev, Aleksandr I. Panov
Hierarchical Psychologically Inspired Planning for Human-Robot Interaction Tasks. ICR (2019)
Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov
Hierarchical Deep Q-Network with Forgetting from Imperfect Demonstrations in Minecraft. CoRR (2019)
Ali Younes, Aleksandr I. Panov
Toward Faster Reinforcement Learning for Robotics: Using Gaussian Processes. RAAI Summer School (2019)
Aleksandr I. Panov, Aleksey Skrynnik
Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering. CoRR (2018)
Ermek Aitygulov, Gleb A. Kiselev, Aleksandr I. Panov
Task and Spatial Planning by the Cognitive Agent with Human-Like Knowledge Representation. ICR (2018)
Gleb A. Kiselev, Aleksandr I. Panov
Synthesis of the Behavior Plan for Group of Robots with Sign Based World Model. ICR (2017)
Aleksandr I. Panov, Konstantin S. Yakovlev, Roman E. Suvorov
Grid Path Planning with Deep Reinforcement Learning: Preliminary Results. BICA (2017)
Aleksandr I. Panov, Konstantin S. Yakovlev
Psychologically Inspired Planning Method for Smart Relocation Task. BICA (2016)
Stanislav V. Emel'yanov, Dmitry Makarov, Aleksandr I. Panov, Konstantin S. Yakovlev
Multilayer cognitive architecture for UAV control. Cogn. Syst. Res. 39 (2016)
Aleksandr I. Panov, Konstantin S. Yakovlev
Psychologically inspired planning method for smart relocation task. CoRR (2016)
Aleksandr I. Panov, Konstantin S. Yakovlev
Behavior and path planning for the coalition of cognitive robots in smart relocation tasks. CoRR (2016)
Aleksandr I. Panov, Konstantin S. Yakovlev
Behavior and Path Planning for the Coalition of Cognitive Robots in Smart Relocation Tasks. RiTA (2015)