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AUDRI

Learning to drive using inverse reinforcement learning

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Many work of the similator is also done together by William and other team members

Dependencies

Python

Python 3.6 is used in this project. The 64-bit version is required for the Tensorflow library.

Windows:
Download and install from the Python website

macOS:
Using Homebrew: $ brew install python3
OR download and install from the Python website

Linux:
Install using your package manager. The package is likely named python or python3

PyPI

This is the official Python package manager, used to install the Python dependencies

The dependencies are given in requirements.pip
To install them: $ pip install -r requirements.pip

Code quality

This project (mostly) follows the PEP 8 style guide

For more details check the code guidelines

Checking for code quality

We use Pylint to check that the code style is being applied
Our Pylint settings are provided in pylintrc

To check the quality of all source code (i.e. in the src/ folder):
$ find src/ -iname '*.py' |xargs pylint
Run the above from the root of the repository

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This a proof of concept model of self-driven car implemented using reinforcement learning algorithm

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