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CognitiveAISystems

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  1. pogema pogema Public

    POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored…

    Python 14 4

  2. MAPF-GPT MAPF-GPT Public

    This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on trajectories produced by LaCAM, it generates collision-free paths under …

    Python 12 2

  3. Dynamic-Neural-Potential-Field Dynamic-Neural-Potential-Field Public

    Approach where the repulsive potential in an MPC pipeline is estimated by a neural model.

    Python 4

  4. learn-to-follow learn-to-follow Public

    [AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follower approach utilizes a combination of a planning algorithm f…

    C++ 3

  5. pogema-toolbox pogema-toolbox Public

    The POGEMA Toolbox is a comprehensive framework designed to facilitate the testing of learning-based approaches within the POGEMA environment. This toolbox offers a unified interface that enables t…

    Python 3

  6. RATE RATE Public

    Official implementation of Recurrent Action Transformer with Memory, an offline RL agent with memory mechanisms. https://sites.google.com/view/rate-model/

    Jupyter Notebook 3

Repositories

Showing 8 of 8 repositories
  • MAPF-GPT Public

    This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on trajectories produced by LaCAM, it generates collision-free paths under partial observability without heuristics or agent communication. MAPF-GPT excels on unseen instances and outperforms state-of-the-art solvers.

    CognitiveAISystems/MAPF-GPT’s past year of commit activity
    Python 12 MIT 2 1 0 Updated Nov 17, 2024
  • RATE Public

    Official implementation of Recurrent Action Transformer with Memory, an offline RL agent with memory mechanisms. https://sites.google.com/view/rate-model/

    CognitiveAISystems/RATE’s past year of commit activity
    Jupyter Notebook 3 MIT 0 0 0 Updated Nov 12, 2024
  • pogema Public

    POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.

    CognitiveAISystems/pogema’s past year of commit activity
    Python 14 MIT 4 3 0 Updated Nov 5, 2024
  • Dynamic-Neural-Potential-Field Public

    Approach where the repulsive potential in an MPC pipeline is estimated by a neural model.

    CognitiveAISystems/Dynamic-Neural-Potential-Field’s past year of commit activity
    Python 4 Apache-2.0 0 0 0 Updated Oct 29, 2024
  • learn-to-follow Public

    [AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follower approach utilizes a combination of a planning algorithm for constructing a long-term plan and reinforcement learning for resolving local conflicts.

    CognitiveAISystems/learn-to-follow’s past year of commit activity
    C++ 3 MIT 0 0 0 Updated Oct 13, 2024
  • pogema-benchmark Public

    This is an umbrella repository that contains links and information about all the tools and algorithms related to the POGEMA Benchmark.

    CognitiveAISystems/pogema-benchmark’s past year of commit activity
    Python 1 Apache-2.0 1 0 0 Updated Oct 1, 2024
  • pogema-toolbox Public

    The POGEMA Toolbox is a comprehensive framework designed to facilitate the testing of learning-based approaches within the POGEMA environment. This toolbox offers a unified interface that enables the seamless execution of any learnable MAPF algorithm in POGEMA.

    CognitiveAISystems/pogema-toolbox’s past year of commit activity
    Python 3 Apache-2.0 0 0 0 Updated Oct 1, 2024
  • mats-lp Public

    [AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a combination of Monte Carlo Tree Search and reinforcement learning for resolving conflicts.

    CognitiveAISystems/mats-lp’s past year of commit activity
    C++ 2 MIT 1 0 0 Updated Sep 24, 2024

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