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07/25/2023
Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results
In this work we study a well-known and challenging problem of Multi-agen...
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12/30/2022
Reinforcement Learning with Success Induced Task Prioritization
Many challenging reinforcement learning (RL) problems require designing ...
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11/12/2022
Collecting Interactive Multi-modal Datasets for Grounded Language Understanding
Human intelligence can remarkably adapt quickly to new tasks and environ...
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11/01/2022
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions
The adoption of pre-trained language models to generate action plans for...
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06/22/2022
POGEMA: Partially Observable Grid Environment for Multiple Agents
We introduce POGEMA (https://github.com/AIRI-Institute/pogema) a sandbox...
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05/31/2022
IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents
We present the IGLU Gridworld: a reinforcement learning environment for ...
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05/27/2022
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022
Human intelligence has the remarkable ability to adapt to new tasks and ...
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05/05/2022
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
Human intelligence has the remarkable ability to quickly adapt to new ta...
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10/13/2021
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment
Human intelligence has the remarkable ability to adapt to new tasks and ...
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09/21/2021
Long-Term Exploration in Persistent MDPs
Exploration is an essential part of reinforcement learning, which restri...
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08/13/2021
Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments
In this paper, we consider the problem of multi-agent navigation in part...
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06/17/2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations
Currently, deep reinforcement learning (RL) shows impressive results in ...
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12/18/2019
