Aleksey Skrynnik

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

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

[BibT_eX]

[DOI]

Maria Nesterova

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

2023

Gradual Optimization Learning for Conformational Energy Minimization.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Yelisey Pitanov

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

2022

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

[BibT_eX]

[DOI]

PeerJ Comput. Sci., 2022

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

POGEMA: Partially Observable Grid Environment for Multiple Agents.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Reinforcement Learning with Success Induced Task Prioritization.

[BibT_eX]

[DOI]

Maria Nesterova

Proceedings of the Advances in Computational Intelligence, 2022

2021

Forgetful experience replay in hierarchical reinforcement learning from expert demonstrations.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

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

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

CoRR, 2021

Hierarchical Deep Q-Network from imperfect demonstrations in Minecraft.

[BibT_eX]

[DOI]

Cogn. Syst. Res., 2021

Hybrid Policy Learning for Multi-Agent Pathfinding.

[BibT_eX]

[DOI]

Alexandra Yakovleva

Vasilii Davydov

IEEE Access, 2021

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

[BibT_eX]

[DOI]

Vasilii Davydov

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

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

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

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

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Long-Term Exploration in Persistent MDPs.

[BibT_eX]

[DOI]

Leonid Ugadiarov

Proceedings of the Advances in Computational Intelligence, 2021

Flexible Data Augmentation in Off-Policy Reinforcement Learning.

[BibT_eX]

[DOI]

Alexandra Rak

Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020

Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Michael Martinson

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

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

2018

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

[BibT_eX]

[DOI]