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This repository is a development environment for my thesis which is "Reinforcement learning based automated parking systems".

Python 100.00%
gymnasium-environment reinforcement-learning self-driving-car automatic-parking autonomous-parking autopark kinematic-bicycle-model python python3 automated-parking-systems

rl_aps's Issues

improvements for the future

Todo

Code architecture

  • Creating parking type class depending on the parking type
    Making the initial position process more independent and readable for both parallel and perpendicular parkings
    Each class has functions for the initial positions.
    For common functionalities, it would be useful to have the base class.

  • For multiple state value combinations, such as the relative coordinate system, velocity and so on.

  • Refactor _render function to provide more flexible parking environments, depending on the parking type, obstacles and so on.

training

  • enhance the parallel agent's performance
  • Introducing a reward function for velocity

Documentation

  • update readme.md

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