Aleksandr I. Panov

According to our database, Aleksandr I. Panov authored at least 93 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Generative models for grid-based and image-based pathfinding.

Daniil E. Kirilenko, Anton Andreychuk, Aleksandr I. Panov, Konstantin S. Yakovlev

Artif. Intell., 2025

2024

FFStreams: Fast Search With Streams for Autonomous Maneuver Planning.

Mais Jamal, Aleksandr Panov

IEEE Robotics Autom. Lett., July, 2024

Hierarchical waste detection with weakly supervised segmentation in images from recycling plants.

Dmitry A. Yudin, Nikita Zakharenko, Artem Smetanin, Roman Filonov, Margarita Kichik, Vladislav Kuznetsov, Dmitry Larichev, Evgeny Gudov, Semen A. Budennyy, Aleksandr Panov

Eng. Appl. Artif. Intell., 2024

Dynamic Neural Potential Field: Online Trajectory Optimization in Presence of Moving Obstacles.

Aleksey Staroverov, Muhammad Alhaddad, Aditya Narendra, Konstantin Mironov, Aleksandr Panov

CoRR, 2024

Maneuver Decision-Making with Trajectory Streams Prediction for Autonomous Vehicles.

Mais Jamal, Aleksandr Panov

CoRR, 2024

MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale.

Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov, Alexey Skrynnik

CoRR, 2024

Safe Policy Exploration Improvement via Subgoals.

Brian Angulo, Gregory Gorbov, Aleksandr Panov, Konstantin S. Yakovlev

CoRR, 2024

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Navigation.

Alexey Skrynnik, Anton Andreychuk, Anatolii Borzilov, Alexander Chernyavskiy, Konstantin S. Yakovlev, Aleksandr Panov

CoRR, 2024

Model-based Policy Optimization using Symbolic World Model.

Andrey Gorodetskiy, Konstantin Mironov, Aleksandr Panov

CoRR, 2024

Hebbian spatial encoder with adaptive sparse connectivity.

Petr Kuderov, Evgenii Dzhivelikian, Aleksandr I. Panov

Cogn. Syst. Res., 2024

Interactive Semantic Map Representation for Skill-Based Visual Object Navigation.

Tatiana Zemskova, Aleksei Staroverov, Kirill Muravyev, Dmitry A. Yudin, Aleksandr I. Panov

IEEE Access, 2024

Latent State Space Quantization for Learning and Exploring Goals.

Artem Latyshev, Aleksandr I. Panov

Proceedings of the Advances in Computational Intelligence, 2024

Neural Potential Field for Obstacle-Aware Local Motion Planning.

Muhammad Alhaddad, Konstantin Mironov, Aleksey Staroverov, Aleksandr Panov

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Stabilizing Manipulator Trajectory via Collision-Aware Optimization.

Elena Rubleva, Konstantin Mironov, Aleksandr Panov

Proceedings of the Interactive Collaborative Robotics - 9th International Conference, 2024

Gradual Optimization Learning for Conformational Energy Minimization.

Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Object-Centric Learning with Slot Mixture Module.

Daniil E. Kirilenko, Vitaliy Vorobyov, Alexey K. Kovalev, Aleksandr Panov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Soft Adaptive Segments for Bio-Inspired Temporal Memory.

Artem Prokhorenko, Evgenii Dzhivelikian, Petr Kuderov, Aleksandr Panov

Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

Common Sense Plan Verification with Large Language Models.

Danil S. Grigorev, Alexey K. Kovalev, Aleksandr I. Panov

Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

Reframing: Detector-Specific Prompt Tuning for Enhancing Open-Vocabulary Object Detection.

Mikhail Avshalumov, Zoya Volovikova, Dmitry A. Yudin, Aleksandr I. Panov

Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments.

Zoya Volovikova, Alexey Skrynnik, Petr Kuderov, Aleksandr I. Panov

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding.

Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning.

Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin S. Yakovlev, Aleksandr Panov

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Skill Fusion in Hybrid Robotic Framework for Visual Object Goal Navigation.

Aleksei Staroverov, Kirill Muravyev, Konstantin S. Yakovlev, Aleksandr I. Panov

Robotics, June, 2023

Policy Optimization to Learn Adaptive Motion Primitives in Path Planning With Dynamic Obstacles.

Brian Angulo, Aleksandr Panov, Konstantin S. Yakovlev

IEEE Robotics Autom. Lett., 2023

Gradual Optimization Learning for Conformational Energy Minimization.

Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Manvel Avetisian, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr I. Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin

CoRR, 2023

Graphical Object-Centric Actor-Critic.

Leonid Ugadiarov, Aleksandr I. Panov

CoRR, 2023

Learning Successor Representations with Distributed Hebbian Temporal Memory.

Evgenii Dzhivelikian, Petr Kuderov, Aleksandr I. Panov

CoRR, 2023

SegmATRon: Embodied Adaptive Semantic Segmentation for Indoor Environment.

Tatiana Zemskova, Margarita Kichik, Dmitry A. Yudin, Aleksei Staroverov, Aleksandr Panov

CoRR, 2023

Evaluation of Safety Constraints in Autonomous Navigation with Deep Reinforcement Learning.

Brian Angulo, Gregory Gorbov, Aleksandr Panov, Konstantin S. Yakovlev

CoRR, 2023

Recurrent Memory Decision Transformer.

Arkadii Bessonov, Alexey Staroverov, Huzhenyu Zhang, Alexey K. Kovalev, Dmitry A. Yudin, Aleksandr I. Panov

CoRR, 2023

Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review.

Artem Latyshev, Aleksandr I. Panov

CoRR, 2023

Fine-Tuning Multimodal Transformer Models for Generating Actions in Virtual and Real Environments.

Aleksei Staroverov, Andrey S. Gorodetsky, Andrei S. Krishtopik, Uliana A. Izmesteva, Dmitry A. Yudin, Alexey K. Kovalev, Aleksandr I. Panov

IEEE Access, 2023

Quantized Disentangled Representations for Object-Centric Visual Tasks.

Daniil E. Kirilenko, Alexandr Korchemnyi, Konstantin Smirnov, Alexey K. Kovalev, Aleksandr I. Panov

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

Model-Based Policy Optimization with Neural Differential Equations for Robotic Arm Control.

Andrey Gorodetskiy, Konstantin Mironov, Aleksandr Panov

Proceedings of the Interactive Collaborative Robotics - 8th International Conference, 2023

Interpreting Decision Process in Offline Reinforcement Learning for Interactive Recommendation Systems.

Zoya Volovikova, Petr Kuderov, Aleksandr I. Panov

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Monte-Carlo Tree Search for Multi-agent Pathfinding: Preliminary Results.

Yelisey Pitanov, Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

The Problem of Concept Learning and Goals of Reasoning in Large Language Models.

Anfisa A. Chuganskaya, Alexey K. Kovalev, Aleksandr Panov

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Stabilize Sequential Data Representation via Attraction Module.

Petr Kuderov, Evgenii Dzhivelikian, Aleksandr I. Panov

Proceedings of the Brain Informatics - 16th International Conference, 2023

Evaluation of Pretrained Large Language Models in Embodied Planning Tasks.

Christina Sarkisyan, Alexandr Korchemnyi, Alexey K. Kovalev, Aleksandr I. Panov

Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers.

Daniil E. Kirilenko, Anton Andreychuk, Aleksandr Panov, Konstantin S. Yakovlev

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Pathfinding in stochastic environments: learning <i>vs</i> planning.

Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr I. Panov

PeerJ Comput. Sci., 2022

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding.

Shrestha Mohanty, Negar Arabzadeh, Milagro Teruel, Yuxuan Sun, Artem Zholus, Alexey Skrynnik, Mikhail Burtsev, Kavya Srinet, Aleksandr Panov, Arthur Szlam, Marc-Alexandre Côté, Julia Kiseleva

CoRR, 2022

Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions.

Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté, Anton Voronov, Artem Zholus, Negar Arabzadeh, Shrestha Mohanty, Milagro Teruel, Ahmed Awadallah, Aleksandr Panov, Mikhail Burtsev, Julia Kiseleva

CoRR, 2022

POGEMA: Partially Observable Grid Environment for Multiple Agents.

Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr I. Panov

CoRR, 2022

IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents.

Artem Zholus, Alexey Skrynnik, Shrestha Mohanty, Zoya Volovikova, Julia Kiseleva, Arthur Szlam, Marc-Alexandre Côté, Aleksandr I. Panov

CoRR, 2022

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022.

Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr I. Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah

CoRR, 2022

Vector Semiotic Model for Visual Question Answering.

Alexey K. Kovalev, Makhmud Shaban, Evgeny Osipov, Aleksandr I. Panov

Cogn. Syst. Res., 2022

Hierarchical intrinsically motivated agent planning behavior with dreaming in grid environments.

Evgenii Dzhivelikian, Artem Latyshev, Petr Kuderov, Aleksandr I. Panov

Brain Informatics, 2022

Hierarchical Landmark Policy Optimization for Visual Indoor Navigation.

Aleksey Staroverov, Aleksandr I. Panov

IEEE Access, 2022

Simultaneous Learning and Planning in a Hierarchical Control System for a Cognitive Agent.

Aleksandr I. Panov

Autom. Remote. Control., 2022

Reinforcement Learning with Success Induced Task Prioritization.

Maria Nesterova, Alexey Skrynnik, Aleksandr Panov

Proceedings of the Advances in Computational Intelligence, 2022

Vector Symbolic Scene Representation for Semantic Place Recognition.

Daniil E. Kirilenko, Alexey K. Kovalev, Yaroslav K. Solomentsev, Alexander Melekhin, Dmitry A. Yudin, Aleksandr I. Panov

Proceedings of the International Joint Conference on Neural Networks, 2022

HPointLoc: Point-Based Indoor Place Recognition Using Synthetic RGB-D Images.

Dmitry A. Yudin, Yaroslav K. Solomentsev, Ruslan Musaev, Aleksei Staroverov, Aleksandr I. Panov

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Stability and Similarity Detection for the Biologically Inspired Temporal Pooler Algorithms.

Ivan Rodkin, Petr Kuderov, Aleksandr I. Panov

Proceedings of the 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2022

Graph Strategy for Interpretable Visual Question Answering.

Christina Sarkisyan, Mikhail Savelov, Alexey K. Kovalev, Aleksandr I. Panov

Proceedings of the Artificial General Intelligence - 15th International Conference, 2022

2021

Forgetful experience replay in hierarchical reinforcement learning from expert demonstrations.

Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov

Knowl. Based Syst., 2021

Multitask Adaptation by Retrospective Exploration with Learned World Models.

Artem Zholus, Aleksandr I. Panov

CoRR, 2021

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment.

Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr I. Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Michel Galley, Ahmed Hassan Awadallah

CoRR, 2021

Landmark Policy Optimization for Object Navigation Task.

Aleksey Staroverov, Aleksandr I. Panov

CoRR, 2021

Hierarchical Deep Q-Network from imperfect demonstrations in Minecraft.

Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov

Cogn. Syst. Res., 2021

Hybrid Policy Learning for Multi-Agent Pathfinding.

Alexey Skrynnik, Alexandra Yakovleva, Vasilii Davydov, Konstantin S. Yakovlev, Aleksandr I. Panov

IEEE Access, 2021

Adaptive Maneuver Planning for Autonomous Vehicles Using Behavior Tree on Apollo Platform.

Mais Jamal, Aleksandr I. Panov

Proceedings of the Artificial Intelligence XXXVIII, 2021

Q-Mixing Network for Multi-agent Pathfinding in Partially Observable Grid Environments.

Vasilii Davydov, Alexey Skrynnik, Konstantin S. Yakovlev, Aleksandr I. Panov

Proceedings of the Artificial Intelligence - 19th Russian Conference, 2021

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition.

Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah, Seungeun Rho, Taehwan Kwon, Daniel Wontae Nam, Felipe Bivort Haiek, Edwin Zhang, Linar Abdrazakov, Guo Qingyam, Jason Zhang, Zhibin Guo

Proceedings of the NeurIPS 2022 Competition Track, 2021

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021.

Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Marc-Alexandre Côté, Ahmed Hassan Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Long-Term Exploration in Persistent MDPs.

Leonid Ugadiarov, Alexey Skrynnik, Aleksandr I. Panov

Proceedings of the Advances in Computational Intelligence, 2021

Question Answering for Visual Navigation in Human-Centered Environments.

Daniil E. Kirilenko, Alexey K. Kovalev, Evgeny Osipov, Aleksandr I. Panov

Proceedings of the Advances in Soft Computing, 2021

Model Predictive Control with Torque Constraints for Velocity-Driven Robotic Manipulator.

Konstantin Mironov, Ruslan Mambetov, Aleksandr I. Panov, Daniil Pushkarev

Proceedings of the 20th International Conference on Advanced Robotics, 2021

Flexible Data Augmentation in Off-Policy Reinforcement Learning.

Alexandra Rak, Alexey Skrynnik, Aleksandr I. Panov

Proceedings of the Artificial Intelligence and Soft Computing, 2021

Planning with Hierarchical Temporal Memory for Deterministic Markov Decision Problem.

Petr Kuderov, Aleksandr I. Panov

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Applying Vector Symbolic Architecture and Semiotic Approach to Visual Dialog.

Alexey K. Kovalev, Makhmud Shaban, Anfisa A. Chuganskaya, Aleksandr I. Panov

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Intrinsic Motivation to Learn Action-State Representation with Hierarchical Temporal Memory.

Evgenii Dzhivelikian, Artem Latyshev, Petr Kuderov, Aleksandr I. Panov

Proceedings of the Brain Informatics - 14th International Conference, 2021

Case-Based Task Generalization in Model-Based Reinforcement Learning.

Artem Zholus, Aleksandr I. Panov

Proceedings of the Artificial General Intelligence - 14th International Conference, 2021

2020

Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations.

Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov

CoRR, 2020

Real-Time Object Navigation With Deep Neural Networks and Hierarchical Reinforcement Learning.

Aleksey Staroverov, Dmitry A. Yudin, Ilya Belkin, Vasily Adeshkin, Yaroslav K. Solomentsev, Aleksandr I. Panov

IEEE Access, 2020

Navigating Autonomous Vehicle at the Road Intersection Simulator with Reinforcement Learning.

Michael Martinson, Alexey Skrynnik, Aleksandr I. Panov

Proceedings of the Artificial Intelligence - 18th Russian Conference, 2020

Q-Learning of Spatial Actions for Hierarchical Planner of Cognitive Agents.

Gleb A. Kiselev, Aleksandr I. Panov

Proceedings of the Interactive Collaborative Robotics - 5th International Conference, 2020

Hyperdimensional Representations in Semiotic Approach to AGI.

Alexey K. Kovalev, Aleksandr I. Panov, Evgeny Osipov

Proceedings of the Artificial General Intelligence - 13th International Conference, 2020

Delta Schema Network in Model-Based Reinforcement Learning.

Andrey Gorodetskiy, Alexandra Shlychkova, Aleksandr I. Panov

Proceedings of the Artificial General Intelligence - 13th International Conference, 2020

2019

Hierarchical Deep Q-Network with Forgetting from Imperfect Demonstrations in Minecraft.

Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov

CoRR, 2019

Toward Faster Reinforcement Learning for Robotics: Using Gaussian Processes.

Ali Younes, Aleksandr I. Panov

Proceedings of the Artificial Intelligence, 2019

Hierarchical Psychologically Inspired Planning for Human-Robot Interaction Tasks.

Gleb A. Kiselev, Aleksandr I. Panov

Proceedings of the Interactive Collaborative Robotics - 4th International Conference, 2019

Hierarchical Reinforcement Learning Approach for the Road Intersection Task.

Maxim Shikunov, Aleksandr I. Panov

Proceedings of the Biologically Inspired Cognitive Architectures 2019, 2019

Mental Actions and Modelling of Reasoning in Semiotic Approach to AGI.

Alexey K. Kovalev, Aleksandr I. Panov

Proceedings of the Artificial General Intelligence - 12th International Conference, 2019

2018

Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering.

Aleksandr I. Panov, Aleksey Skrynnik

CoRR, 2018

Task and Spatial Planning by the Cognitive Agent with Human-Like Knowledge Representation.

Ermek Aitygulov, Gleb A. Kiselev, Aleksandr I. Panov

Proceedings of the Interactive Collaborative Robotics - Third International Conference, 2018

2017

Synthesis of the Behavior Plan for Group of Robots with Sign Based World Model.

Gleb A. Kiselev, Aleksandr I. Panov

Proceedings of the Interactive Collaborative Robotics - Second International Conference, 2017

Grid Path Planning with Deep Reinforcement Learning: Preliminary Results.

Aleksandr I. Panov, Konstantin S. Yakovlev, Roman E. Suvorov

Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017

2016

Multilayer cognitive architecture for UAV control.

Stanislav V. Emel'yanov, Dmitry Makarov, Aleksandr I. Panov, Konstantin S. Yakovlev

Cogn. Syst. Res., 2016

A framework for automated meta-analysis: Dendritic cell therapy case study.

A. A. Boyko, A. M. Kaidina, Y. C. Kim, Alexey Yu. Lupatov, Alexander I. Panov, Roman E. Suvorov, Alexander V. Shvets

Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Psychologically Inspired Planning Method for Smart Relocation Task.

Aleksandr I. Panov, Konstantin S. Yakovlev

Proceedings of the 7th Annual International Conference on Biologically Inspired Cognitive Architectures, 2016

2015

Behavior and Path Planning for the Coalition of Cognitive Robots in Smart Relocation Tasks.

Aleksandr I. Panov, Konstantin S. Yakovlev

Proceedings of the Robot Intelligence Technology and Applications 4, 2015

Assessment of Dendritic Cell Therapy Effectiveness Based on the Feature Extraction from Scientific Publications.

Alexey Yu. Lupatov, Alexander I. Panov, Roman E. Suvorov, Alexander V. Shvets, Konstantin N. Yarygin, Galina D. Volkova

Proceedings of the ICPRAM 2015, 2015