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bandit_research_group_9

https://github.com/oscar12346/bandit_research_group_9

Science Score: 44.0%

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
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.0%) to scientific vocabulary
Last synced: 9 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Oscar12346
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 2.33 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Created about 1 year ago · Last pushed 12 months ago
Metadata Files
Readme Citation

README.md

DSAIT4220 - Research In Intelligent Decision Making

Group 9

This project uses Python 3.9 or higher.

Setup Instructions

  1. Create a virtual environment: ```bash # Navigate to the project directory cd bandit_practice

# Create a virtual environment python -m venv venv

# Activate the virtual environment # On macOS/Linux: source venv/bin/activate # On Windows: .\venv\Scripts\activate ```

  1. Install dependencies: ```bash

    Install all dependencies

    pip install -r requirements.txt ```

  2. Verify the installation: ```bash

    Check if Python packages are installed correctly

    python -c "import matplotlib; import minigrid; import moviepy" ```

Development Tools

The project includes several development tools for code quality: - flake8: For code linting - mypy: For static type checking - black: For code formatting - isort: For import sorting - ipython and notebook: For interactive development

Deactivating the Virtual Environment

When you're done working on the project, you can deactivate the virtual environment: bash deactivate

How to test new Adversaries

To test new adversaries you should plugin inside the adversaries folder a new python file with the adversary code following the template provided inside adversaries/adversary.py.

Then writhe a jupyter notebook following the same structure of the experiments provided in experiments folder.

Owner

  • Login: Oscar12346
  • Kind: user

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Adversarial-Bandit Testing Framework
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Jeroen
    family-names: Janssen
    affiliation: MSc Student TU-Delft
    email: j.d.janssen@student.tudelft.nl
  - given-names: Tomàs
    family-names: Osarte
    email: t.osarte@student.tudelft.nl
    affiliation: MSc Student TU-Delft
  - given-names: David
    name-particle: van der
    family-names: Maas
    email: d.w.vandermaas@student.tudelft.nl
    affiliation: MSc Student TU-Delft
  - given-names: Oscar
    family-names: Wezenaar
    email: o.a.h.wezenaar@student.tudelft.nl
    affiliation: MSc Student TU-Delft
repository-code: 'https://github.com/Oscar12346/bandit_research_group_9'

GitHub Events

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Dependencies

poetry.lock pypi
  • 123 dependencies
pyproject.toml pypi
  • black ^23.3.0 develop
  • flake8 ^6.0.0 develop
  • ipython ^8.13.2 develop
  • isort ^5.12.0 develop
  • mypy ^1.3.0 develop
  • notebook ^6.5.4 develop
  • rope ^1.8.0 develop
  • matplotlib ^3.7.1
  • minigrid ^2.2.1
  • moviepy ^1.0.3
  • python >=3.9
requirements.txt pypi
  • black >=23.3.0
  • flake8 >=6.0.0
  • ipython >=8.13.2
  • isort >=5.12.0
  • matplotlib >=3.7.1
  • minigrid >=2.2.1
  • moviepy >=1.0.3
  • mypy >=1.3.0
  • notebook >=6.5.4
  • pandas >=2.2.3
  • rope >=1.8.0
  • scipy >=1.15.3
  • seaborn >=0.13.2