multi-agent-communication

Multi-Agent Communication

https://github.com/gut-ai/multi-agent-communication

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 5 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.8%) to scientific vocabulary

Keywords

gut-ai machine-learning multi-agent multi-agent-reinforcement-learning multi-robot multi-robot-systems reinforcement-learning
Last synced: 4 months ago · JSON representation ·

Repository

Multi-Agent Communication

Basic Info
  • Host: GitHub
  • Owner: GUT-AI
  • License: cc0-1.0
  • Default Branch: master
  • Homepage:
  • Size: 36.1 KB
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
gut-ai machine-learning multi-agent multi-agent-reinforcement-learning multi-robot multi-robot-systems reinforcement-learning
Created over 3 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.rst

.. |br| raw:: html

  
Multi-Agent Communication ========================= .. image:: https://img.shields.io/badge/License-CC0_1.0-lightgrey.svg :target: LICENSE :alt: License .. image:: https://img.shields.io/badge/DOI-10.31219%2Fosf.io%2Fwec8m-blue :target: CITATION.cff :alt: DOI | **Summary:** Documentation and files about the **Multi-Agent Communication** component, as part of the `GUT-AI Initiative `_. | .. contents:: **Table of Contents** | About ----- The purpose of this component is to perform **Multi-Agent Communication**. Main papers ----------- Selected publications ^^^^^^^^^^^^^^^^^^^^^ - Kourouklides, I. (2022). Bayesian Deep Multi-Agent Multimodal Reinforcement Learning for Embedded Systems in Games, Natural Language Processing and Robotics. *OSF Preprints*. https://doi.org/10.31219/osf.io/sjrkh References ^^^^^^^^^^ See `References `_. Component files --------------- Component page ^^^^^^^^^^^^^^ Thanks to OSF (by the `Center for Open Science `_), the project is temporarily hosted at: - https://osf.io/8frxm/ Component DOI ^^^^^^^^^^^^^ **Project identifier:** https://doi.org/10.17605/OSF.IO/WEC8M Component dependencies ^^^^^^^^^^^^^^^^^^^^^^ This component depends on the following components of GUT-AI: * (none) Environment simulators ^^^^^^^^^^^^^^^^^^^^^^ See `Simulators `_. Datasets ^^^^^^^^ See `Datasets `_. Model Zoos ^^^^^^^^^^ See `Model Zoos `_. Getting involved ---------------- - `Community Discord `_ for collaboration and discussion. How to cite this ---------------- If you want to do so, feel free to `cite `_ this component in your publications: :: @article{kourouklides2022mac, author = {Ioannis Kourouklides}, journal = {OSF Preprints}, title = {Multi-Agent Communication}, year = {2022}, doi = {10.17605/osf.io/wec8m}, license = {Creative Commons Zero CC0 1.0} } License ------- .. image:: https://licensebuttons.net/p/mark/1.0/88x31.png :target: http://creativecommons.org/publicdomain/zero/1.0/ :alt: License `Creative Commons Zero CC0 1.0 (Public Domain) `_

Owner

  • Name: GUT-AI
  • Login: GUT-AI
  • Kind: organization

GUT-AI Initiative

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you want to do so, feel free to cite this component using these metadata. More details at https://GUT-AI.org"
title: Multi-Agent Communication
authors:
  - family-names: Kourouklides
    given-names: Ioannis
identifiers:
  - type: doi
    value: 10.17605/osf.io/wec8m
    description: The concept DOI for the collection containing all versions of the Citation File Format.
date-released: "2022"
license: "Creative Commons Zero CC0 1.0"
doi: 10.17605/osf.io/wec8m

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