Welcome to the Imitation Learning for Autonomous Driving repository! This project focuses on using imitation learning techniques within the Gymnasium environment to develop autonomous driving models.
This repository showcases the implementation of imitation learning for autonomous driving, utilizing the Gymnasium environment for training and evaluation. The aim is to train models that can mimic human driving behavior using collected driving data.
Folders:
data/: Contains datasets used for training and evaluation.
scripts/: Includes scripts for training and testing the imitation learning models.
Files:
data/drive_data.csv: Example dataset with driving data.
scripts/train.py: Script for training the imitation learning model.
scripts/evaluate.py: Script for evaluating the trained model.
LICENSE: License file under the Apache-2.0 License.
README.md: This file, providing an overview and guidance on the repository.
Prerequisites:
Python 3.7+
Gymnasium
PyTorch
numpy
pandas