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Aleksandr Panov

Russian Academy of Sciences, Federal Research Center Computer Science and Control, Moscow

20 papers at tracked venues · 11 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-9747-3837 ↗

Venues

IROS ×5AAAI ×4ICLR ×4ACL ×3ECAI ×3ICRA ×1

Frequent coauthors

Zoya Volovikova
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Alexey Skrynnik
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Anton Andreychuk
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Artem Pshenitsyn
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Daniil Zelezetsky
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Anastasiia Ivanova
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Svyatoslav Pchelintsev
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Evgenii Aleksandrovich Dzhivelikian
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Aditya Narendra
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Artem Latyshev
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Danil S. Grigorev
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Artem Tsypin
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Papers

  1. CAMAR: Continuous Actions Multi-Agent Routing
    AAAI 2026 ·
    Artem Pshenitsyn
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  2. Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement Learning
    ACL 2026 ·
    Zoya Volovikova
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  3. Accelerating Transformers in Online RL
    ECAI 2025 ·
    Daniil Zelezetsky
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  4. Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning
    IROS 2025 ·
    Anton Andreychuk
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  5. AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment
    ACL 2025 ·
    Anastasiia Ivanova
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  6. CrafText Benchmark: Advancing Instruction Following in Complex Multimodal Open-Ended World
    ACL 2025 ·
    Zoya Volovikova
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  7. LERa: Replanning with Visual Feedback in Instruction Following
    IROS 2025 ·
    Svyatoslav Pchelintsev
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  8. Learning Successor Features with Distributed Hebbian Temporal Memory
    ICLR 2025 ·
    Evgenii Aleksandrovich Dzhivelikian
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  9. M3PO: Massively Multi-Task Model-Based Policy Optimization
    IROS 2025 ·
    Aditya Narendra
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  10. MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
    AAAI 2025 ·
    Anton Andreychuk
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  11. POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
    ICLR 2025 ·
    Alexey Skrynnik
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  12. Safe Planning and Policy Optimization via World Model Learning
    ECAI 2025 ·
    Artem Latyshev
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  13. VerifyLLM: LLM-Based Pre-Execution Task Plan Verification for Robots
    IROS 2025 ·
    Danil S. Grigorev
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  14. Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding
    AAAI 2024 ·
    Alexey Skrynnik
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  15. Gradual Optimization Learning for Conformational Energy Minimization
    ICLR 2024 ·
    Artem Tsypin
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  16. Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments
    ECAI 2024 ·
    Zoya Volovikova
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  17. Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning
    AAAI 2024 ·
    Alexey Skrynnik
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  18. Model-based Policy Optimization using Symbolic World Model
    IROS 2024 ·
    Andrey Gorodetskiy
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  19. Neural Potential Field for Obstacle-Aware Local Motion Planning
    ICRA 2024 ·
    Muhammad Alhaddad
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  20. Object-Centric Learning with Slot Mixture Module
    ICLR 2024 ·
    Daniil E. Kirilenko
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