Publications

2024

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

   Anton Andreychuk ,  Konstantin Yakovlev ,  Aleksandr Panov , and 1 more author

   arXiv preprint arXiv:2409.00134, 2024
2. Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments

   Zoya Volovikova ,  Alexey Skrynnik ,  Petr Kuderov , and 1 more author

   2024
3. Gradual Optimization Learning for Conformational Energy Minimization

   Artem Tsypin ,  Leonid Anatolievich Ugadiarov ,  Kuzma Khrabrov , and 7 more authors

   In The Twelfth International Conference on Learning Representations , 2024
4. Learn to follow: Decentralized lifelong multi-agent pathfinding via planning and learning

   Alexey Skrynnik ,  Anton Andreychuk ,  Maria Nesterova , and 2 more authors

   In Proceedings of the AAAI Conference on Artificial Intelligence , 2024
5. Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding

   Alexey Skrynnik ,  Anton Andreychuk ,  Konstantin Yakovlev , and 1 more author

   In Proceedings of the AAAI Conference on Artificial Intelligence , 2024

2023

1. When to Switch: Planning and Learning for Partially Observable Multi-Agent Pathfinding

   Alexey Skrynnik ,  Anton Andreychuk ,  Konstantin Yakovlev , and 1 more author

   IEEE Transactions on Neural Networks and Learning Systems, 2023
2. Monte-Carlo Tree Search for Multi-agent Pathfinding: Preliminary Results

   Yelisey Pitanov ,  Alexey Skrynnik ,  Anton Andreychuk , and 2 more authors

   In International Conference on Hybrid Artificial Intelligence Systems , 2023
3. Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition

   Julia Kiseleva ,  Alexey Skrynnik ,  Artem Zholus , and 8 more authors

   In NeurIPS 2022 Competition Track , 2023

2022

1. Planning and learning in multi-agent path finding

   KS Yakovlev ,  and  AA Andreychuk

   In Doklady Mathematics , 2022
2. Collecting interactive multi-modal datasets for grounded language understanding

   Shrestha Mohanty ,  Negar Arabzadeh ,  Milagro Teruel , and 8 more authors

   arXiv preprint arXiv:2211.06552, 2022
3. Learning to solve voxel building embodied tasks from pixels and natural language instructions

   Alexey Skrynnik ,  Zoya Volovikova ,  Marc-Alexandre Côté , and 8 more authors

   arXiv preprint arXiv:2211.00688, 2022
4. Reinforcement Learning with Success Induced Task Prioritization

   Maria Nesterova ,  Alexey Skrynnik ,  and  Aleksandr Panov

   In Mexican International Conference on Artificial Intelligence , 2022
5. Pathfinding in stochastic environments: learning vs planning

   Alexey Skrynnik ,  Anton Andreychuk ,  Konstantin Yakovlev , and 1 more author

   PeerJ Computer Science, 2022
6. Interactive grounded language understanding in a collaborative environment: Iglu 2021

   Julia Kiseleva ,  Ziming Li ,  Mohammad Aliannejadi , and 8 more authors

   In NeurIPS 2021 Competitions and Demonstrations Track , 2022
7. POGEMA: Partially observable grid environment for multiple agents

   Alexey Skrynnik ,  Anton Andreychuk ,  Konstantin Yakovlev , and 1 more author

   arXiv preprint arXiv:2206.10944, 2022
8. Iglu gridworld: Simple and fast environment for embodied dialog agents

   Artem Zholus ,  Alexey Skrynnik ,  Shrestha Mohanty , and 5 more authors

   arXiv preprint arXiv:2206.00142, 2022

2021

1. Hybrid policy learning for multi-agent pathfinding

   Alexey Skrynnik ,  Alexandra Yakovleva ,  Vasilii Davydov , and 2 more authors

   IEEE Access, 2021
2. Forgetful experience replay in hierarchical reinforcement learning from expert demonstrations

   Alexey Skrynnik ,  Aleksey Staroverov ,  Ermek Aitygulov , and 3 more authors

   Knowledge-Based Systems, 2021
3. Flexible Data Augmentation in Off-Policy Reinforcement Learning

   Alexandra Rak ,  Alexey Skrynnik ,  and  Aleksandr I Panov

   In Artificial Intelligence and Soft Computing: 20th International Conference, ICAISC 2021, Virtual Event, June 21–23, 2021, Proceedings, Part I 20 , 2021
4. Long-term exploration in persistent mdps

   Leonid Ugadiarov ,  Alexey Skrynnik ,  and  Aleksandr I Panov

   In Advances in Computational Intelligence: 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25–30, 2021, Proceedings, Part I 20 , 2021
5. Q-Mixing network for multi-agent pathfinding in partially observable grid environments

   Vasilii Davydov ,  Alexey Skrynnik ,  Konstantin Yakovlev , and 1 more author

   In Artificial Intelligence: 19th Russian Conference, RCAI 2021, Taganrog, Russia, October 11–16, 2021, Proceedings 19 , 2021
6. Hierarchical deep q-network from imperfect demonstrations in minecraft

   Alexey Skrynnik ,  Aleksey Staroverov ,  Ermek Aitygulov , and 3 more authors

   Cognitive Systems Research, 2021

2019

1. Object detection with deep neural networks for reinforcement learning in the task of autonomous vehicles path planning at the intersection

   DA Yudin ,  and  AI Panov

   Optical Memory and Neural Networks, 2019

2016

1. Hierarchical temporal memory implementation with explicit states extraction

   Aleksey Skrynnik ,  Alexander Petrov ,  and  Aleksandr I Panov

   In Biologically Inspired Cognitive Architectures (BICA) for Young Scientists: Proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) , 2016