# maenvs4vrp **Repository Path**: jackfgao/maenvs4vrp ## Basic Information - **Project Name**: maenvs4vrp - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-07-01 - **Last Updated**: 2025-07-01 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ********** MAENVS4VRP ********** Multi Agent Environments for Vehicle Routing Problems MAENVS4VRP is a library made up of multi-agent environments for simulating classic vehicle routing problems. `Documentation `_ | `Install <#id13>`_ | `Quickstart Notebook `_ | `Train Your Model <#training>`_ | `Paper `_ .. image:: https://colab.research.google.com/assets/colab-badge.svg :alt: Google Colab Badge :target: https://colab.research.google.com/github/ricgama/maenvs4vrp/blob/master/maenvs4vrp/notebooks/1.0.0-quickstart-cvrptw.ipynb Environments ============ .. list-table:: List of Vehicle Routing Environments: :widths: 25 5 5 :header-rows: 1 * - Evironment - Source - Description * - CVRPSTW (Capacitated Vehicle Routing Problem with Soft Time Windows) - `Code `_ - `Docs `_ * - CVRPTW (Capacitated Vehicle Routing Problem with Time Windows) - `Code `_ - `Docs `_ * - MDVRPTW (Multi-trip Vehicle Routing Problem with Time Windows) - `Code `_ - `Docs `_ * - PCVRPTW (Prize Collecting Vehicle Routing Problem with Time Windows) - `Code `_ - `Docs `_ * - PDPTW (Pickup and Delivery Problem with Time Windows) - `Code `_ - `Docs `_ * - SDVRPTW (Split Delivery Vehicle Routing Problem with Time Windows) - `Code `_ - `Docs `_ * - TOPTW (Team Orienteering Problem with Time Windows) - `Code `_ - `Docs `_ Install ========== If you want to install MAENVS4VRP locally on your machine: .. code:: shell git clone https://github.com/ricgama/maenvs4vrp.git && cd maenvs4vrp pip install -e . Testing ============= You can run tests in testing directory ``/tests/unit/environments``. .. code-block:: python pytest seed_test.py .. code-block:: python pytest reset_seed.py Training ============= You can train models in learning directory ``maenvs4vrp/learning``. .. code-block:: python python maenvs4vrp/learning/mardam/train_mardam.py --vrp_env toptw --num_agents 5 --num_nodes 51  --val_set servs_50_agents_5 --selection stime .. code-block:: python python maenvs4vrp/learning/madyam/train_madyam.py --vrp_env toptw --num_agents 5 --num_nodes 51  --val_set servs_50_agents_5 --selection stime Directory Tree Structure =========================== .. code:: text ├───maenvs4vrp │ ├───core │ ├───environments │ │ ├───cvrpstw │ │ ├───cvrptw │ │ ├───mdvrptw │ │ ├───pcvrptw │ │ ├───pdptw │ │ ├───sdvrptw │ │ ├───toptw │ ├───learning │ │ ├───madyam │ │ ├───mardam │ ├───notebooks │ ├───utils ├───tests │ ├───unit │ │ ├───environments Citation =============== If you want to include MAENVS4VRP in your publications, you can use: .. code-block:: bibtex @article{gama2024maenvs4vrp, title={Multi-Agent Environments for Vehicle Routing Problems}, author={Ricardo Gama and Daniel Fuertes and Carlos R. del-Blanco and Hugo L. Fernandes}, year={2024}, journal={arXiv preprint arXiv:2411.14411}, note={\url{https://github.com/ricgama/maenvs4vrp}} url={https://arxiv.org/abs/2411.14411}, }