grounded-qa

Grounded QA

https://github.com/gut-ai/grounded-qa

Keywords

Repository

Grounded QA

README.rst

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Grounded QA
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.. 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%2F8frxm-blue
  :target: CITATION.cff
  :alt: DOI

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**Summary:** Documentation and files about the **Grounded QA** component, as part of the `GUT-AI Initiative `_.

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.. contents:: **Table of Contents**

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About
-----

The purpose of this component is to perform Grounded Question Answering (**Grounded QA**) by applying *Grounded Cognition* on QA tasks on multiple mobile robots or multiple aerial robots (drones) or a combination of them using *Multimodal Learning* (i.e. *visuo-linguistic* abilities)


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/8FRXM

Component dependencies
^^^^^^^^^^^^^^^^^^^^^^

This component depends on the following components of GUT-AI:

* `QA `_
* `VSPT `_
* `Multi-Agent Communication `_
* `Multi-Robot Path Planning `_

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{kourouklides2022gqa,
      author = {Ioannis Kourouklides},
      journal = {OSF Preprints},
      title = {Grounded QA},
      year = {2022},
      doi = {10.17605/osf.io/8frxm},
      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

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: Grounded QA
authors:
  - family-names: Kourouklides
    given-names: Ioannis
identifiers:
  - type: doi
    value: 10.17605/osf.io/8frxm
    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/8frxm

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