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ORCIDAleksandr I. Panov
Aleksandr Panov – Alexander I. Panov
Person information
- affiliation: Russian Academy of Sciences, Federal Research Center Computer Science and Control, Moscow
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2020 – today
- 2025
[j21]Daniil E. Kirilenko, Anton Andreychuk, Aleksandr I. Panov, Konstantin S. Yakovlev
:
Generative models for grid-based and image-based pathfinding. Artif. Intell. 338: 104238 (2025)- [j20]Alexander Chernyavskiy, Alexey Skrynnik, Aleksandr Panov:
Applying opponent and environment modelling in decentralised multi-agent reinforcement learning. Cogn. Syst. Res. 89: 101306 (2025) - 2024
- [j19]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: 44628-44639 (2024) - [j18]Petr Kuderov, Evgenii Dzhivelikian, Aleksandr I. Panov:
Hebbian spatial encoder with adaptive sparse connectivity. Cogn. Syst. Res. 88: 101277 (2024) - [j17]Dmitry A. Yudin, Nikita Zakharenko, Artem Smetanin, Roman Filonov, Margarita Kichik, Vladislav Kuznetsov, Dmitry Larichev, Evgeny Gudov, Semen A. Budennyy, Aleksandr Panov:
Hierarchical waste detection with weakly supervised segmentation in images from recycling plants. Eng. Appl. Artif. Intell. 128: 107542 (2024) - [j16]Anfisa A. Chuganskaya, Alexey K. Kovalev, Aleksandr I. Panov:
Sign-based image criteria for social interaction visual question answering. Log. J. IGPL 32(4): 656-670 (2024) - [j15]Mais Jamal, Aleksandr Panov:
FFStreams: Fast Search With Streams for Autonomous Maneuver Planning. IEEE Robotics Autom. Lett. 9(7): 6752-6759 (2024) - [j14]Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr I. Panov:
When to Switch: Planning and Learning for Partially Observable Multi-Agent Pathfinding. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17411-17424 (2024) - [c52]Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov:
Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding. AAAI 2024: 17531-17540 - [c51]Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin S. Yakovlev, Aleksandr Panov:
Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning. AAAI 2024: 17541-17549 - [c50]Zoya Volovikova, Alexey Skrynnik, Petr Kuderov, Aleksandr I. Panov:
Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments. ECAI 2024: 650-657 - [c49]Mikhail Avshalumov, Zoya Volovikova, Dmitry A. Yudin, Aleksandr I. Panov:
Reframing: Detector-Specific Prompt Tuning for Enhancing Open-Vocabulary Object Detection. HAIS (2) 2024: 128-140 - [c48]Artem Prokhorenko, Evgenii Dzhivelikian, Petr Kuderov, Aleksandr Panov:
Soft Adaptive Segments for Bio-Inspired Temporal Memory. HAIS (1) 2024: 202-213 - [c47]Danil S. Grigorev, Alexey K. Kovalev, Aleksandr I. Panov:
Common Sense Plan Verification with Large Language Models. HAIS (2) 2024: 224-236 - [c46]Daniil E. Kirilenko, Vitaliy Vorobyov, Alexey K. Kovalev, Aleksandr Panov:
Object-Centric Learning with Slot Mixture Module. ICLR 2024 - [c45]Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin:
Gradual Optimization Learning for Conformational Energy Minimization. ICLR 2024 - [c44]Elena Rubleva, Konstantin Mironov, Aleksandr Panov:
Stabilizing Manipulator Trajectory via Collision-Aware Optimization. ICR 2024: 30-44 - [c43]Muhammad Alhaddad, Konstantin Mironov, Aleksey Staroverov, Aleksandr Panov:
Neural Potential Field for Obstacle-Aware Local Motion Planning. ICRA 2024: 9313-9320 - [c42]Andrey Gorodetskiy, Konstantin Mironov, Aleksandr Panov:
Model-based Policy Optimization using Symbolic World Model. IROS 2024: 664-669 - [c41]Artem Latyshev, Aleksandr I. Panov:
Latent State Space Quantization for Learning and Exploring Goals. MICAI (1) 2024: 28-39 - [i42]Zoya Volovikova, Alexey Skrynnik, Petr Kuderov, Aleksandr I. Panov:
Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments. CoRR abs/2407.09287 (2024) - [i41]Andrey Gorodetskiy, Konstantin Mironov, Aleksandr Panov:
Model-based Policy Optimization using Symbolic World Model. CoRR abs/2407.13518 (2024) - [i40]Alexey Skrynnik, Anton Andreychuk, Anatolii Borzilov, Alexander Chernyavskiy, Konstantin S. Yakovlev, Aleksandr Panov:
POGEMA: A Benchmark Platform for Cooperative Multi-Agent Navigation. CoRR abs/2407.14931 (2024) - [i39]Brian Angulo, Gregory Gorbov, Aleksandr Panov, Konstantin S. Yakovlev:
Safe Policy Exploration Improvement via Subgoals. CoRR abs/2408.13881 (2024) - [i38]Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov, Alexey Skrynnik:
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale. CoRR abs/2409.00134 (2024) - [i37]Mais Jamal, Aleksandr Panov:
Maneuver Decision-Making with Trajectory Streams Prediction for Autonomous Vehicles. CoRR abs/2409.10165 (2024) - [i36]Aleksey Staroverov, Muhammad Alhaddad, Aditya Narendra, Konstantin Mironov, Aleksandr Panov:
Dynamic Neural Potential Field: Online Trajectory Optimization in Presence of Moving Obstacles. CoRR abs/2410.06819 (2024) - [i35]Egor Cherepanov, Nikita Kachaev, Artem Zholus, Alexey K. Kovalev, Aleksandr I. Panov:
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation. CoRR abs/2412.06531 (2024) - 2023
- [j13]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: 130548-130559 (2023) - [j12]Brian Angulo, Aleksandr Panov, Konstantin S. Yakovlev:
Policy Optimization to Learn Adaptive Motion Primitives in Path Planning With Dynamic Obstacles. IEEE Robotics Autom. Lett. 8(2): 824-831 (2023) - [j11]Aleksei Staroverov, Kirill Muravyev, Konstantin S. Yakovlev, Aleksandr I. Panov:
Skill Fusion in Hybrid Robotic Framework for Visual Object Goal Navigation. Robotics 12(4): 104 (2023) - [c40]Daniil E. Kirilenko, Anton Andreychuk, Aleksandr Panov, Konstantin S. Yakovlev:
TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers. AAAI 2023: 12436-12443 - [c39]Christina Sarkisyan, Alexandr Korchemnyi, Alexey K. Kovalev, Aleksandr I. Panov:
Evaluation of Pretrained Large Language Models in Embodied Planning Tasks. AGI 2023: 222-232 - [c38]Petr Kuderov, Evgenii Dzhivelikian, Aleksandr I. Panov:
Stabilize Sequential Data Representation via Attraction Module. BI 2023: 83-95 - [c37]Yelisey Pitanov, Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov:
Monte-Carlo Tree Search for Multi-agent Pathfinding: Preliminary Results. HAIS 2023: 649-660 - [c36]Anfisa A. Chuganskaya, Alexey K. Kovalev, Aleksandr Panov:
The Problem of Concept Learning and Goals of Reasoning in Large Language Models. HAIS 2023: 661-672 - [c35]Zoya Volovikova, Petr Kuderov, Aleksandr I. Panov:
Interpreting Decision Process in Offline Reinforcement Learning for Interactive Recommendation Systems. ICONIP (9) 2023: 270-286 - [c34]Andrey Gorodetskiy, Konstantin Mironov, Aleksandr Panov:
Model-Based Policy Optimization with Neural Differential Equations for Robotic Arm Control. ICR 2023: 258-266 - [c33]Daniil E. Kirilenko, Alexandr Korchemnyi, Konstantin Smirnov, Alexey K. Kovalev, Aleksandr I. Panov:
Quantized Disentangled Representations for Object-Centric Visual Tasks. PReMI 2023: 514-522 - [i34]Maria Nesterova, Alexey Skrynnik, Aleksandr Panov:
Reinforcement Learning with Success Induced Task Prioritization. CoRR abs/2301.00691 (2023) - [i33]Artem Latyshev, Aleksandr I. Panov:
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review. CoRR abs/2301.10067 (2023) - [i32]Arkadii Bessonov, Alexey Staroverov, Huzhenyu Zhang, Alexey K. Kovalev, Dmitry A. Yudin, Aleksandr I. Panov:
Recurrent Memory Decision Transformer. CoRR abs/2306.09459 (2023) - [i31]Yelisey Pitanov, Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov:
Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results. CoRR abs/2307.13453 (2023) - [i30]Brian Angulo, Gregory Gorbov, Aleksandr Panov, Konstantin S. Yakovlev:
Evaluation of Safety Constraints in Autonomous Navigation with Deep Reinforcement Learning. CoRR abs/2307.14568 (2023) - [i29]Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin S. Yakovlev, Aleksandr Panov:
Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning. CoRR abs/2310.01207 (2023) - [i28]Tatiana Zemskova, Margarita Kichik, Dmitry A. Yudin, Aleksei Staroverov, Aleksandr Panov:
SegmATRon: Embodied Adaptive Semantic Segmentation for Indoor Environment. CoRR abs/2310.12031 (2023) - [i27]Evgenii Dzhivelikian, Petr Kuderov, Aleksandr I. Panov:
Learning Successor Representations with Distributed Hebbian Temporal Memory. CoRR abs/2310.13391 (2023) - [i26]Muhammad Alhaddad, Konstantin Mironov, Aleksey Staroverov, Aleksandr Panov:
Neural Potential Field for Obstacle-Aware Local Motion Planning. CoRR abs/2310.16362 (2023) - [i25]Leonid Ugadiarov, Aleksandr I. Panov:
Graphical Object-Centric Actor-Critic. CoRR abs/2310.17178 (2023) - [i24]Tatiana Zemskova, Aleksei Staroverov, Kirill Muravyev, Dmitry A. Yudin, Aleksandr Panov:
Interactive Semantic Map Representation for Skill-based Visual Object Navigation. CoRR abs/2311.04107 (2023) - [i23]Daniil E. Kirilenko, Vitaliy Vorobyov, Alexey K. Kovalev, Aleksandr I. Panov:
Object-Centric Learning with Slot Mixture Module. CoRR abs/2311.04640 (2023) - [i22]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 abs/2311.06295 (2023) - [i21]Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov:
Decentralized Monte Carlo Tree Search for Partially Observable Multi-agent Pathfinding. CoRR abs/2312.15908 (2023) - 2022
- [j10]Aleksandr I. Panov:
Simultaneous Learning and Planning in a Hierarchical Control System for a Cognitive Agent. Autom. Remote. Control. 83(6): 869-883 (2022) - [j9]Aleksey Staroverov, Aleksandr I. Panov:
Hierarchical Landmark Policy Optimization for Visual Indoor Navigation. IEEE Access 10: 70447-70455 (2022) - [j8]Evgenii Dzhivelikian, Artem Latyshev, Petr Kuderov, Aleksandr I. Panov:
Hierarchical intrinsically motivated agent planning behavior with dreaming in grid environments. Brain Informatics 9(1): 8 (2022) - [j7]Alexey K. Kovalev, Makhmud Shaban, Evgeny Osipov, Aleksandr I. Panov:
Vector Semiotic Model for Visual Question Answering. Cogn. Syst. Res. 71: 52-63 (2022) - [j6]Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr I. Panov:
Pathfinding in stochastic environments: learning vs planning. PeerJ Comput. Sci. 8: e1056 (2022) - [c32]Christina Sarkisyan, Mikhail Savelov, Alexey K. Kovalev, Aleksandr I. Panov:
Graph Strategy for Interpretable Visual Question Answering. AGI 2022: 86-99 - [c31]Ivan Rodkin, Petr Kuderov, Aleksandr I. Panov:
Stability and Similarity Detection for the Biologically Inspired Temporal Pooler Algorithms. BICA*AI 2022: 570-579 - [c30]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: 471-484 - [c29]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: 1-8 - [c28]Maria Nesterova, Alexey Skrynnik, Aleksandr Panov:
Reinforcement Learning with Success Induced Task Prioritization. MICAI (1) 2022: 97-107 - [i20]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, Marc-Alexandre Côté, Katja Hofmann, Ahmed 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 abs/2205.02388 (2022) - [i19]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:
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022. CoRR abs/2205.13771 (2022) - [i18]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 abs/2206.00142 (2022) - [i17]Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr I. Panov:
POGEMA: Partially Observable Grid Environment for Multiple Agents. CoRR abs/2206.10944 (2022) - [i16]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:
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions. CoRR abs/2211.00688 (2022) - [i15]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:
Collecting Interactive Multi-modal Datasets for Grounded Language Understanding. CoRR abs/2211.06552 (2022) - [i14]Daniil E. Kirilenko, Anton Andreychuk, Aleksandr Panov, Konstantin S. Yakovlev:
TransPath: Learning Heuristics For Grid-Based Pathfinding via Transformers. CoRR abs/2212.11730 (2022) - [i13]Brian Angulo, Aleksandr Panov, Konstantin S. Yakovlev:
Policy Optimization to Learn Adaptive Motion Primitives in Path Planning with Dynamic Obstacles. CoRR abs/2212.14307 (2022) - [i12]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 abs/2212.14649 (2022) - 2021
- [j5]Alexey Skrynnik, Alexandra Yakovleva, Vasilii Davydov, Konstantin S. Yakovlev, Aleksandr I. Panov:
Hybrid Policy Learning for Multi-Agent Pathfinding. IEEE Access 9: 126034-126047 (2021) - [j4]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: 74-78 (2021) - [j3]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: 106844 (2021) - [c27]Artem Zholus, Aleksandr I. Panov:
Case-Based Task Generalization in Model-Based Reinforcement Learning. AGI 2021: 344-354 - [c26]Evgenii Dzhivelikian, Artem Latyshev, Petr Kuderov, Aleksandr I. Panov:
Intrinsic Motivation to Learn Action-State Representation with Hierarchical Temporal Memory. BI 2021: 13-24 - [c25]Alexey K. Kovalev, Makhmud Shaban, Anfisa A. Chuganskaya, Aleksandr I. Panov:
Applying Vector Symbolic Architecture and Semiotic Approach to Visual Dialog. HAIS 2021: 243-255 - [c24]Petr Kuderov, Aleksandr I. Panov:
Planning with Hierarchical Temporal Memory for Deterministic Markov Decision Problem. ICAART (2) 2021: 1073-1081 - [c23]Alexandra Rak, Alexey Skrynnik, Aleksandr I. Panov:
Flexible Data Augmentation in Off-Policy Reinforcement Learning. ICAISC (1) 2021: 224-235 - [c22]Konstantin Mironov, Ruslan Mambetov, Aleksandr I. Panov, Daniil Pushkarev:
Model Predictive Control with Torque Constraints for Velocity-Driven Robotic Manipulator. ICAR 2021: 107-112 - [c21]Daniil E. Kirilenko, Alexey K. Kovalev, Evgeny Osipov, Aleksandr I. Panov:
Question Answering for Visual Navigation in Human-Centered Environments. MICAI (2) 2021: 31-45 - [c20]Leonid Ugadiarov, Alexey Skrynnik, Aleksandr I. Panov:
Long-Term Exploration in Persistent MDPs. MICAI (1) 2021: 108-120 - [c19]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:
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. NeurIPS (Competition and Demos) 2021: 146-161 - [c18]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:
Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. NeurIPS (Competition and Demos) 2021: 204-216 - [c17]Vasilii Davydov, Alexey Skrynnik, Konstantin S. Yakovlev, Aleksandr I. Panov:
Q-Mixing Network for Multi-agent Pathfinding in Partially Observable Grid Environments. RCAI 2021: 169-179 - [c16]Mais Jamal, Aleksandr I. Panov:
Adaptive Maneuver Planning for Autonomous Vehicles Using Behavior Tree on Apollo Platform. SGAI Conf. 2021: 327-340 - [e4]Sergei M. Kovalev, Sergei O. Kuznetsov, Aleksandr I. Panov:
Artificial Intelligence - 19th Russian Conference, RCAI 2021, Taganrog, Russia, October 11-16, 2021, Proceedings. Lecture Notes in Computer Science 12948, Springer 2021, ISBN 978-3-030-86854-3 [contents] - [i11]Vasilii Davydov, Alexey Skrynnik, Konstantin S. Yakovlev, Aleksandr I. Panov:
Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments. CoRR abs/2108.06148 (2021) - [i10]Aleksey Staroverov, Aleksandr I. Panov:
Landmark Policy Optimization for Object Navigation Task. CoRR abs/2109.09512 (2021) - [i9]Leonid Ugadiarov, Alexey Skrynnik, Aleksandr I. Panov:
Long-Term Exploration in Persistent MDPs. CoRR abs/2109.10173 (2021) - [i8]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:
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment. CoRR abs/2110.06536 (2021) - [i7]Artem Zholus, Aleksandr I. Panov:
Multitask Adaptation by Retrospective Exploration with Learned World Models. CoRR abs/2110.13241 (2021) - 2020
- [j2]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: 195608-195621 (2020) - [c15]Andrey Gorodetskiy, Alexandra Shlychkova, Aleksandr I. Panov:
Delta Schema Network in Model-Based Reinforcement Learning. AGI 2020: 172-182 - [c14]Alexey K. Kovalev, Aleksandr I. Panov, Evgeny Osipov:
Hyperdimensional Representations in Semiotic Approach to AGI. AGI 2020: 231-241 - [c13]Gleb A. Kiselev, Aleksandr I. Panov:
Q-Learning of Spatial Actions for Hierarchical Planner of Cognitive Agents. ICR 2020: 160-169 - [c12]Michael Martinson, Alexey Skrynnik, Aleksandr I. Panov:
Navigating Autonomous Vehicle at the Road Intersection Simulator with Reinforcement Learning. RCAI 2020: 71-84 - [e3]Ben Goertzel, Aleksandr I. Panov, Alexey Potapov, Roman Yampolskiy:
Artificial General Intelligence - 13th International Conference, AGI 2020, St. Petersburg, Russia, September 16-19, 2020, Proceedings. Lecture Notes in Computer Science 12177, Springer 2020, ISBN 978-3-030-52151-6 [contents] - [e2]Sergei O. Kuznetsov, Aleksandr I. Panov, Konstantin S. Yakovlev:
Artificial Intelligence - 18th Russian Conference, RCAI 2020, Moscow, Russia, October 10-16, 2020, Proceedings. Lecture Notes in Computer Science 12412, Springer 2020, ISBN 978-3-030-59534-0 [contents] - [i6]Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov:
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations. CoRR abs/2006.09939 (2020) - [i5]Andrey Gorodetskiy, Alexandra Shlychkova, Aleksandr I. Panov:
Delta Schema Network in Model-based Reinforcement Learning. CoRR abs/2006.09950 (2020)
2010 – 2019
- 2019
- [c11]Alexey K. Kovalev, Aleksandr I. Panov:
Mental Actions and Modelling of Reasoning in Semiotic Approach to AGI. AGI 2019: 121-131 - [c10]Maxim Shikunov, Aleksandr I. Panov:
Hierarchical Reinforcement Learning Approach for the Road Intersection Task. BICA 2019: 495-506 - [c9]Gleb A. Kiselev, Aleksandr I. Panov:
Hierarchical Psychologically Inspired Planning for Human-Robot Interaction Tasks. ICR 2019: 150-160 - [c8]Ali Younes, Aleksandr I. Panov:
Toward Faster Reinforcement Learning for Robotics: Using Gaussian Processes. RAAI Summer School 2019: 160-174 - [e1]Gennady S. Osipov, Aleksandr I. Panov, Konstantin S. Yakovlev:
Artificial Intelligence - 5th RAAI Summer School, Dolgoprudny, Russia, July 4-7, 2019, Tutorial Lectures. Lecture Notes in Computer Science 11866, Springer 2019, ISBN 978-3-030-33273-0 [contents] - [i4]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 abs/1912.08664 (2019) - 2018
- [c7]Ermek Aitygulov, Gleb A. Kiselev, Aleksandr I. Panov:
Task and Spatial Planning by the Cognitive Agent with Human-Like Knowledge Representation. ICR 2018: 1-12 - [i3]Aleksandr I. Panov, Aleksey Skrynnik:
Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering. CoRR abs/1806.05292 (2018) - 2017
- [c6]Aleksandr I. Panov, Konstantin S. Yakovlev, Roman E. Suvorov:
Grid Path Planning with Deep Reinforcement Learning: Preliminary Results. BICA 2017: 347-353 - [c5]