Publications

2024

  1. 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
  2. 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