Aleksey Skrynnik

According to our database, Aleksey Skrynnik authored at least 29 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov, Alexey Skrynnik

CoRR, 2024

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Navigation.

Alexey Skrynnik, Anton Andreychuk, Anatolii Borzilov, Alexander Chernyavskiy, Konstantin S. Yakovlev, Aleksandr Panov

CoRR, 2024

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 Côté, Julia Kiseleva

CoRR, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments.

Zoya Volovikova, Alexey Skrynnik, Petr Kuderov, Aleksandr I. Panov

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding.

Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning.

Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin S. Yakovlev, Aleksandr Panov

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Gradual Optimization Learning for Conformational Energy Minimization.

Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Manvel Avetisian, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr I. Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin

CoRR, 2023

Monte-Carlo Tree Search for Multi-agent Pathfinding: Preliminary Results.

Yelisey Pitanov, Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

2022

Pathfinding in stochastic environments: learning <i>vs</i> planning.

Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr I. Panov

PeerJ Comput. Sci., 2022

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding.

Shrestha Mohanty, Negar Arabzadeh, Milagro Teruel, Yuxuan Sun, Artem Zholus, Alexey Skrynnik, Mikhail Burtsev, Kavya Srinet, Aleksandr Panov, Arthur Szlam, Marc-Alexandre Côté, Julia Kiseleva

CoRR, 2022

Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions.

Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté, Anton Voronov, Artem Zholus, Negar Arabzadeh, Shrestha Mohanty, Milagro Teruel, Ahmed Awadallah, Aleksandr Panov, Mikhail Burtsev, Julia Kiseleva

CoRR, 2022

POGEMA: Partially Observable Grid Environment for Multiple Agents.

Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr I. Panov

CoRR, 2022

IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents.

Artem Zholus, Alexey Skrynnik, Shrestha Mohanty, Zoya Volovikova, Julia Kiseleva, Arthur Szlam, Marc-Alexandre Côté, Aleksandr I. Panov

CoRR, 2022

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022.

Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr I. Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah

CoRR, 2022

Reinforcement Learning with Success Induced Task Prioritization.

Maria Nesterova, Alexey Skrynnik, Aleksandr Panov

Proceedings of the Advances in Computational Intelligence, 2022

2021

Forgetful experience replay in hierarchical reinforcement learning from expert demonstrations.

Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov

Knowl. Based Syst., 2021

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment.

Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr I. Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Michel Galley, Ahmed Hassan Awadallah

CoRR, 2021

Hierarchical Deep Q-Network from imperfect demonstrations in Minecraft.

Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov

Cogn. Syst. Res., 2021

Hybrid Policy Learning for Multi-Agent Pathfinding.

Alexey Skrynnik, Alexandra Yakovleva, Vasilii Davydov, Konstantin S. Yakovlev, Aleksandr I. Panov

IEEE Access, 2021

Q-Mixing Network for Multi-agent Pathfinding in Partially Observable Grid Environments.

Vasilii Davydov, Alexey Skrynnik, Konstantin S. Yakovlev, Aleksandr I. Panov

Proceedings of the Artificial Intelligence - 19th Russian Conference, 2021

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition.

Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah, Seungeun Rho, Taehwan Kwon, Daniel Wontae Nam, Felipe Bivort Haiek, Edwin Zhang, Linar Abdrazakov, Guo Qingyam, Jason Zhang, Zhibin Guo

Proceedings of the NeurIPS 2022 Competition Track, 2021

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021.

Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Marc-Alexandre Côté, Ahmed Hassan Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Long-Term Exploration in Persistent MDPs.

Leonid Ugadiarov, Alexey Skrynnik, Aleksandr I. Panov

Proceedings of the Advances in Computational Intelligence, 2021

Flexible Data Augmentation in Off-Policy Reinforcement Learning.

Alexandra Rak, Alexey Skrynnik, Aleksandr I. Panov

Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020

Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations.

Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov

CoRR, 2020

Navigating Autonomous Vehicle at the Road Intersection Simulator with Reinforcement Learning.

Michael Martinson, Alexey Skrynnik, Aleksandr I. Panov

Proceedings of the Artificial Intelligence - 18th Russian Conference, 2020

2019

Hierarchical Deep Q-Network with Forgetting from Imperfect Demonstrations in Minecraft.

Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov

CoRR, 2019

2018

Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering.

Aleksandr I. Panov, Aleksey Skrynnik

CoRR, 2018