Panov, Aleksandr

19 publications

ICLR 2026 ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL Problems Egor Cherepanov, Alexey Kovalev, Aleksandr Panov

ICLR 2026 Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning Egor Cherepanov, Nikita Kachaev, Alexey Kovalev, Aleksandr Panov

ICLR 2026 Recurrent Action Transformer with Memory Egor Cherepanov, Aleksei Staroverov, Alexey Kovalev, Aleksandr Panov

ICLR 2026 Unraveling the Complexity of Memory in RL Agents: An Approach for Classification and Evaluation Egor Cherepanov, Nikita Kachaev, Artem Zholus, Alexey Kovalev, Aleksandr Panov

ICLRW 2025 A New Perspective on Transformers in Online Reinforcement Learning for Continuous Control Nikita Kachaev, Daniil Zelezetsky, Alexey Kovalev, Aleksandr Panov

ICLRW 2025 Accelerating Transformers in Online RL Daniil Zelezetsky, Alexey Kovalev, Aleksandr Panov

ICLR 2025 Learning Successor Features with Distributed Hebbian Temporal Memory Evgenii Aleksandrovich Dzhivelikian, Petr Kuderov, Aleksandr Panov

ICLRW 2025 LookPlanGraph: Embodied Instruction Following Method with VLM Graph Augmentation Anatoly Onishchenko, Alexey Kovalev, Aleksandr Panov

AAAI 2025 MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov, Alexey Skrynnik

ICLRW 2025 Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning Egor Cherepanov, Nikita Kachaev, Alexey Kovalev, Aleksandr Panov

ICLR 2025 POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding Alexey Skrynnik, Anton Andreychuk, Anatolii Borzilov, Alexander Chernyavskiy, Konstantin Yakovlev, Aleksandr Panov

ICLRW 2025 Re:Frame - Retrieving Experience from Associative Memory Daniil Zelezetsky, Egor Cherepanov, Alexey Kovalev, Aleksandr Panov

CLeaR 2025 Relational Object-Centric Actor-Critic Leonid Anatolievich Ugadiarov, Vitaliy Vorobyov, Aleksandr Panov

AAAI 2024 Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov

ICLR 2024 Gradual Optimization Learning for Conformational Energy Minimization Artem Tsypin, Leonid Anatolievich Ugadiarov, Kuzma Khrabrov, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin

AAAI 2024 Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin S. Yakovlev, Aleksandr Panov

ICLR 2024 Object-Centric Learning with Slot Mixture Module Daniil Kirilenko, Vitaliy Vorobyov, Alexey Kovalev, Aleksandr Panov

AAAI 2023 TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers Daniil E. Kirilenko, Anton Andreychuk, Aleksandr Panov, Konstantin S. Yakovlev

ICLRW 2022 Factorized World Models for Learning Causal Relationships Artem Zholus, Yaroslav Ivchenkov, Aleksandr Panov