Alexey Skrynnik
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
8
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | CAMAR: Continuous Actions Multi-Agent Routing. | Artem Pshenitsyn, Aleksandr Panov, Alexey Skrynnik |
| 2026 | ACL | Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement Learning. | Zoya Volovikova, Nikita Sorokin, Dmitriy Lukashevskiy, Aleksandr Panov, Alexey Skrynnik |
| 2025 | AAAI | MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale. | Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov, Alexey Skrynnik |
| 2025 | ACL | CrafText Benchmark: Advancing Instruction Following in Complex Multimodal Open-Ended World. | Zoya Volovikova, Gregory Gorbov, Petr Kuderov, Aleksandr Panov, Alexey Skrynnik |
| 2025 | ICLR | POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding. | Alexey Skrynnik, Anton Andreychuk, Anatolii Borzilov, Alexander Chernyavskiy, Konstantin S. Yakovlev, Aleksandr Panov |
| 2025 | IROS | Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning. | Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov, Alexey Skrynnik |
| 2025 | SIGIR | IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents. | Shrestha Mohanty, Negar Arabzadeh, Andrea Tupini, Yuxuan Sun, Alexey Skrynnik, Artem Zholus, Marc-Alexandre Ct, Julia Kiseleva |
| 2024 | AAAI | Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning. | Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin S. Yakovlev, Aleksandr Panov |
| 2024 | AAAI | Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding. | Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov |
| 2024 | ECAI | Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments. | Zoya Volovikova, Alexey Skrynnik, Petr Kuderov, Aleksandr I. Panov |
| 2024 | ICLR | 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 |
| 2023 | HAIS | Monte-Carlo Tree Search for Multi-agent Pathfinding: Preliminary Results. | Yelisey Pitanov, Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov |
| 2021 | ICAISC | Flexible Data Augmentation in Off-Policy Reinforcement Learning. | Alexandra Rak, Alexey Skrynnik, Aleksandr I. Panov |