WorldOnRails

Overview:

The "World on Rails" repository contains the code for the technical report "Learning to drive from a world on rails" by Dian Chen, Vladlen Koltun, and Philipp Krähenbühl. The repository provides resources for training agents to drive in the CARLA simulator environment. The code includes pre-computed Q values in the dataset along with instructions for setting up the environment and training the models. The content focuses on training agents for driving tasks using machine learning techniques.

Features:

• Pre-computed Q values: Includes pre-computed Q values in the dataset for driving tasks.
• CARLA Setup: Provides instructions for setting up CARLA and training the models.
• Training Guides: Includes guides for training the World-on-Rails and LBC agents.
• Evaluation Instructions: Guidelines for evaluating the pretrained weights with specific launch configurations.
• Leaderboard Routes: Provides routes for evaluating performance with options for different agents.
• Dataset Release: Offers the data trained for the leaderboard tasks.
• Acknowledgements: Credits original sources for leaderboard and scenario runner codes.
• License: Released under the MIT License along with references to other licenses.